{"id":2118,"date":"2023-07-23T15:01:59","date_gmt":"2023-07-23T15:01:59","guid":{"rendered":"https:\/\/statorials.org\/my\/%e1%80%95%e1%80%bc%e1%80%ae%e1%80%b8%e1%80%95%e1%80%bc%e1%80%8a%e1%80%b7%e1%80%ba%e1%80%85%e1%80%af%e1%80%b6%e1%80%9e%e1%80%b1%e1%80%ac-multicollinearite\/"},"modified":"2023-07-23T15:01:59","modified_gmt":"2023-07-23T15:01:59","slug":"%e1%80%95%e1%80%bc%e1%80%ae%e1%80%b8%e1%80%95%e1%80%bc%e1%80%8a%e1%80%b7%e1%80%ba%e1%80%85%e1%80%af%e1%80%b6%e1%80%9e%e1%80%b1%e1%80%ac-multicollinearite","status":"publish","type":"post","link":"https:\/\/statorials.org\/my\/%e1%80%95%e1%80%bc%e1%80%ae%e1%80%b8%e1%80%95%e1%80%bc%e1%80%8a%e1%80%b7%e1%80%ba%e1%80%85%e1%80%af%e1%80%b6%e1%80%9e%e1%80%b1%e1%80%ac-multicollinearite\/","title":{"rendered":"\u1015\u103c\u102e\u1038\u1015\u103c\u100a\u1037\u103a\u1005\u102f\u1036\u101e\u1031\u102c multicollinearity \u1006\u102d\u102f\u101e\u100a\u103a\u1019\u103e\u102c \u1021\u1018\u101a\u103a\u1014\u100a\u103a\u1038\u104b (\u1021\u1013\u102d\u1015\u1039\u1015\u102b\u101a\u103a\u1014\u103e\u1004\u1037\u103a \u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u1005\u102c\u101b\u1004\u103a\u1038\u1007\u101a\u102c\u1038\u1019\u103b\u102c\u1038\u1010\u103d\u1004\u103a\u104a \u1000\u102d\u1014\u103a\u1038\u1002\u100f\u1014\u103a\u1038\u1014\u103e\u1005\u103a\u1001\u102f \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a \u1014\u103e\u1005\u103a\u1001\u102f\u1011\u1000\u103a\u1015\u102d\u102f\u101e\u1031\u102c \u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u1014\u102d\u102f\u1004\u103a\u101e\u1031\u102c\u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a\u1019\u103b\u102c\u1038\u101e\u100a\u103a \u1010\u1005\u103a\u1001\u102f\u1014\u103e\u1004\u1037\u103a\u1010\u1005\u103a\u1001\u102f \u1021\u101c\u103d\u1014\u103a\u1006\u1000\u103a\u1005\u1015\u103a\u1014\u1031\u101e\u1031\u102c\u1021\u1001\u102b\u104a \u104e\u1004\u103a\u1038\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1006\u102f\u1010\u103a\u101a\u102f\u1010\u103a\u1019\u103e\u102f\u1015\u102f\u1036\u1005\u1036\u1010\u103d\u1004\u103a \u1011\u1030\u1038\u1001\u103c\u102c\u1038\u101e\u1031\u102c \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a \u1021\u1019\u103e\u102e\u1021\u1001\u102d\u102f\u1000\u1004\u103a\u1038\u101e\u1031\u102c \u1021\u1001\u103b\u1000\u103a\u1021\u101c\u1000\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1015\u1031\u1038\u1005\u103d\u1019\u103a\u1038\u1014\u102d\u102f\u1004\u103a\u1001\u103c\u1004\u103a\u1038 \u1019\u101b\u103e\u102d\u101e\u100a\u1037\u103a\u1021\u1001\u102b\u1010\u103d\u1004\u103a <a href=\"https:\/\/statorials.org\/my\/multicollinearity-\u1006\u102f\u1010\u103a\u101a\u102f\u1010\u103a\u1019\u103e\u102f\/\" target=\"_blank\" rel=\"noopener\">\u1000\u102d\u1014\u103a\u1038\u1002\u100f\u1014\u103a\u1038\u1019\u103b\u102c\u1038 \u1015\u1031\u102b\u1004\u103a\u1038\u1005\u1015\u103a<\/a> \u1016\u103c\u1005\u103a\u1015\u1031\u102b\u103a\u1019\u103e\u102f \u1016\u103c\u1005\u103a\u1015\u1031\u102b\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a\u1019\u103b\u102c\u1038\u1000\u103c\u102c\u1038\u1010\u103d\u1004\u103a \u1006\u1000\u103a\u1005\u1015\u103a\u1006\u1000\u103a\u1005\u1015\u103a\u1019\u103e\u102f\u1012\u102e\u1002\u101b\u102e\u101e\u100a\u103a \u101c\u102f\u1036\u101c\u1031\u102c\u1000\u103a\u1005\u103d\u102c\u1019\u103c\u1004\u1037\u103a\u1019\u102c\u1038\u1015\u102b\u1000\u104a \u104e\u1004\u103a\u1038\u101e\u100a\u103a \u1006\u102f\u1010\u103a\u101a\u102f\u1010\u103a\u1019\u103e\u102f\u1015\u102f\u1036\u1005\u1036\u1000\u102d\u102f \u1021\u1036\u101d\u1004\u103a\u1001\u103d\u1004\u103a\u1000\u103b\u1016\u103c\u1005\u103a\u1005\u1031\u1015\u103c\u102e\u1038 \u1021\u1014\u1000\u103a\u1015\u103c\u1014\u103a\u1006\u102d\u102f\u101b\u102c\u1010\u103d\u1004\u103a \u1015\u103c\u103f\u1014\u102c\u1019\u103b\u102c\u1038\u1016\u103c\u1005\u103a\u1005\u1031\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\">Multicollinearity \u104f \u1021\u1006\u102d\u102f\u1038\u101b\u103d\u102c\u1038\u1006\u102f\u1036\u1038\u1016\u103c\u1005\u103a\u101b\u1015\u103a\u1000\u102d\u102f <strong>perfect multicollinearity<\/strong> \u101f\u102f\u1001\u1031\u102b\u103a\u101e\u100a\u103a\u104b \u1000\u103c\u102d\u102f\u1010\u1004\u103a\u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a \u1014\u103e\u1005\u103a\u1001\u102f \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a \u1011\u102d\u102f\u1037\u1011\u1000\u103a\u1015\u102d\u102f\u101e\u1031\u102c \u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a\u1019\u103b\u102c\u1038\u101e\u100a\u103a \u1010\u1005\u103a\u1001\u102f\u1014\u103e\u1004\u1037\u103a\u1010\u1005\u103a\u1001\u102f \u1010\u102d\u1000\u103b\u101e\u1031\u102c linear \u1006\u1000\u103a\u1014\u103d\u101a\u103a\u1019\u103e\u102f\u101b\u103e\u102d\u101e\u1031\u102c\u1021\u1001\u102b \u104e\u1004\u103a\u1038\u101e\u100a\u103a \u1016\u103c\u1005\u103a\u1015\u1031\u102b\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u1025\u1015\u1019\u102c\u1021\u102c\u1038\u1016\u103c\u1004\u1037\u103a\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u1010\u103d\u1004\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1012\u1031\u1010\u102c\u1021\u1005\u102f\u1036\u101b\u103e\u102d\u101e\u100a\u103a\u1006\u102d\u102f\u1015\u102b\u1005\u102d\u102f\u1037\u104b<\/span> <\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-19687 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/parfaitmult1.png\" alt=\"\" width=\"243\" height=\"345\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">\u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u101e\u1030 variable x <sub>2<\/sub> \u104f\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u101e\u100a\u103a \u101b\u102d\u102f\u1038\u101b\u102d\u102f\u1038 x <sub>1<\/sub> \u104f\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f 2 \u1016\u103c\u1004\u1037\u103a\u1019\u103c\u103e\u1031\u102c\u1000\u103a\u1000\u103c\u1031\u102c\u1004\u103a\u1038\u101e\u1010\u102d\u1015\u103c\u102f\u1015\u102b\u104b<\/span> <\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-19688\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/parfaitmult2.png\" alt=\"\u1015\u103c\u102e\u1038\u1015\u103c\u100a\u1037\u103a\u1005\u102f\u1036\u101e\u1031\u102c multicollinearity \u104f\u1025\u1015\u1019\u102c\" width=\"241\" height=\"342\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">\u1024\u101e\u100a\u103a\u1019\u103e\u102c <strong>\u1015\u103c\u102e\u1038\u1015\u103c\u100a\u1037\u103a\u1005\u102f\u1036\u101e\u1031\u102c multicollinearity<\/strong> \u104f \u1025\u1015\u1019\u102c\u1010\u1005\u103a\u1001\u102f\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\u1015\u103c\u102e\u1038\u1015\u103c\u100a\u1037\u103a\u1005\u102f\u1036\u101e\u1031\u102c multicollinearity \u1015\u103c\u103f\u1014\u102c<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u1012\u1031\u1010\u102c\u1021\u1010\u103d\u1032\u1010\u1005\u103a\u1001\u102f\u1010\u103d\u1004\u103a \u1015\u103c\u102e\u1038\u1015\u103c\u100a\u1037\u103a\u1005\u102f\u1036\u101e\u1031\u102c multicollinearity \u101b\u103e\u102d\u1014\u1031\u101e\u1031\u102c\u1021\u1001\u102b\u104a \u101e\u102c\u1019\u1014\u103a \u1021\u1014\u100a\u103a\u1038\u1006\u102f\u1036\u1038\u1005\u1010\u102f\u101b\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u101e\u100a\u103a \u1006\u102f\u1010\u103a\u101a\u102f\u1010\u103a\u1019\u103e\u102f\u1000\u102d\u1014\u103a\u1038\u1002\u100f\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u104f \u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u1001\u103b\u1000\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1019\u1011\u102f\u1010\u103a\u1015\u1031\u1038\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u1021\u1019\u103e\u1014\u103a\u1019\u103e\u102c\u104a <sub>x<\/sub> <sub>2<\/sub> \u101e\u100a\u103a x <sub>1<\/sub> \u101b\u103d\u1031\u1037\u101c\u103b\u102c\u1038\u101e\u100a\u1037\u103a\u1021\u1001\u102b \u1021\u1019\u103c\u1032\u1021\u1010\u102d\u1021\u1000\u103b \u101b\u103d\u1031\u1037\u101c\u103b\u102c\u1038\u1014\u1031\u1001\u103b\u102d\u1014\u103a\u1010\u103d\u1004\u103a \u1010\u102f\u1036\u1037\u1015\u103c\u1014\u103a\u1019\u103e\u102f\u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a (y) \u1015\u1031\u102b\u103a\u101b\u103e\u102d \u1000\u103c\u102d\u102f\u1010\u1004\u103a\u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a (x <sub>1<\/sub> ) \u104f \u1019\u1016\u103c\u1005\u103a\u1005\u101c\u1031\u102c\u1000\u103a\u1021\u1000\u103b\u102d\u102f\u1038\u101e\u1000\u103a\u101b\u1031\u102c\u1000\u103a\u1019\u103e\u102f\u1000\u102d\u102f \u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u101b\u1014\u103a \u1019\u1016\u103c\u1005\u103a\u1014\u102d\u102f\u1004\u103a\u1015\u1031\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u1021\u1010\u102d\u102f\u1001\u103b\u102f\u1015\u103a\u1021\u102c\u1038\u1016\u103c\u1004\u1037\u103a\u104a \u1015\u103c\u102e\u1038\u1015\u103c\u100a\u1037\u103a\u1005\u102f\u1036\u101e\u1031\u102c multicollinearity \u101e\u100a\u103a regression model \u1010\u1005\u103a\u1001\u102f\u1005\u102e\u101b\u103e\u102d coefficient \u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1021\u1010\u103d\u1000\u103a \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1000\u102d\u102f \u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u101b\u1014\u103a \u1019\u1016\u103c\u1005\u103a\u1014\u102d\u102f\u1004\u103a\u1015\u1031\u104b<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\u1015\u103c\u102e\u1038\u1015\u103c\u100a\u1037\u103a\u1005\u102f\u1036\u101e\u1031\u102c multicollinearity \u1000\u102d\u102f\u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1000\u102d\u102f\u1004\u103a\u1010\u103d\u101a\u103a\u1019\u100a\u103a\u1014\u100a\u103a\u1038\u104b<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u1015\u103c\u102e\u1038\u1015\u103c\u100a\u1037\u103a\u1005\u102f\u1036\u101e\u1031\u102c multicollinearity \u1000\u102d\u102f\u1000\u102d\u102f\u1004\u103a\u1010\u103d\u101a\u103a\u101b\u1014\u103a \u1021\u101b\u102d\u102f\u1038\u101b\u103e\u1004\u103a\u1038\u1006\u102f\u1036\u1038\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1019\u103e\u102c \u1021\u1001\u103c\u102c\u1038\u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a\u1014\u103e\u1004\u1037\u103a \u1021\u1010\u102d\u1021\u1000\u103b linear \u1006\u1000\u103a\u1014\u103d\u101a\u103a\u1019\u103e\u102f\u101b\u103e\u102d\u101e\u1031\u102c variable \u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1016\u101a\u103a\u101b\u103e\u102c\u1038\u101b\u1014\u103a\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u1025\u1015\u1019\u102c\u1021\u102c\u1038\u1016\u103c\u1004\u1037\u103a\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u104f\u101a\u1001\u1004\u103a\u1012\u1031\u1010\u102c\u1021\u1010\u103d\u1032\u1010\u103d\u1004\u103a\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a x <sub>2 \u1000\u102d\u102f<\/sub> \u1000\u103c\u102d\u102f\u1010\u1004\u103a\u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u1014\u102d\u102f\u1004\u103a\u101e\u1031\u102c\u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a\u1021\u1016\u103c\u1005\u103a \u101b\u102d\u102f\u1038\u101b\u103e\u1004\u103a\u1038\u1005\u103d\u102c\u1016\u101a\u103a\u101b\u103e\u102c\u1038\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span> <\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-19689 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/parfaitmult3.png\" alt=\"\" width=\"159\" height=\"335\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">\u1011\u102d\u102f\u1037\u1014\u1031\u102c\u1000\u103a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a x <sub>1 \u1000\u102d\u102f<\/sub> \u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u101e\u100a\u1037\u103a\u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a\u1021\u1016\u103c\u1005\u103a\u1014\u103e\u1004\u1037\u103a \u1010\u102f\u1036\u1037\u1015\u103c\u1014\u103a\u1019\u103e\u102f\u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a\u1021\u1016\u103c\u1005\u103a y \u1000\u102d\u102f\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d \u1006\u102f\u1010\u103a\u101a\u102f\u1010\u103a\u1019\u103e\u102f\u1015\u102f\u1036\u1005\u1036\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1016\u103c\u100a\u1037\u103a\u101e\u103d\u1004\u103a\u1038\u1019\u100a\u103a\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\u1015\u103c\u102e\u1038\u1015\u103c\u100a\u1037\u103a\u1005\u102f\u1036\u101e\u1031\u102c multicollinearity \u1014\u1019\u1030\u1014\u102c\u1019\u103b\u102c\u1038<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u101e\u100a\u103a \u101c\u1000\u103a\u1010\u103d\u1031\u1037\u1010\u103d\u1004\u103a \u1015\u103c\u102e\u1038\u1015\u103c\u100a\u1037\u103a\u1005\u102f\u1036\u101e\u1031\u102c multicollinearity \u104f \u1021\u1016\u103c\u1005\u103a\u1021\u1019\u103b\u102c\u1038\u1006\u102f\u1036\u1038 \u1019\u103c\u1004\u103a\u1000\u103d\u1004\u103a\u1038\u101e\u102f\u1036\u1038\u1001\u102f\u1000\u102d\u102f \u1015\u103c\u101e\u1011\u102c\u1038\u101e\u100a\u103a\u104b<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>1. \u1000\u103c\u102d\u102f\u1010\u1004\u103a\u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a\u101e\u100a\u103a \u1021\u1001\u103c\u102c\u1038\u1010\u1005\u103a\u1001\u102f\u104f \u1006\u1010\u102d\u102f\u1038\u1000\u102d\u1014\u103a\u1038\u1010\u1005\u103a\u1001\u102f\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u1021\u1001\u103b\u102d\u102f\u1037\u101e\u1031\u102c \u101c\u1004\u103a\u1038\u1015\u102d\u102f\u1004\u103a\u1019\u103b\u102d\u102f\u1038\u1005\u102d\u1010\u103a\u1019\u103b\u102c\u1038\u104f \u1021\u101c\u1031\u1038\u1001\u103b\u102d\u1014\u103a\u1000\u102d\u102f \u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u101b\u1014\u103a &#8220; \u1021\u1019\u103c\u1004\u1037\u103a \u1005\u1004\u103a\u1010\u102e\u1019\u102e\u1010\u102c&#8221;  \u1014\u103e\u1004\u1037\u103a &#8220; \u1021\u1019\u103c\u1004\u1037\u103a \u1019\u102e\u1010\u102c&#8221;  \u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101c\u102d\u102f\u101e\u100a\u103a \u1006\u102d\u102f\u1000\u103c\u1015\u102b\u1005\u102d\u102f\u1037\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u1024\u1021\u101b\u102c\u101e\u100a\u103a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u104f\u1012\u1031\u1010\u102c\u1021\u1010\u103d\u1032\u1000\u1032\u1037\u101e\u102d\u102f\u1037 \u1016\u103c\u1005\u103a\u1000\u1031\u102c\u1004\u103a\u1038\u1016\u103c\u1005\u103a\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a-<\/span> <\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-19691 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/parfaitmult4.png\" alt=\"\" width=\"243\" height=\"313\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">&#8220; \u1021\u1019\u103c\u1004\u1037\u103a \u1005\u1004\u103a\u1010\u102e\u1019\u102e\u1010\u102c&#8221;  \u104f \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u101e\u100a\u103a 100 \u1016\u103c\u1004\u1037\u103a \u1019\u103c\u103e\u1031\u102c\u1000\u103a\u1011\u102c\u1038\u101e\u1031\u102c &#8220; \u1021\u1019\u103c\u1004\u1037\u103a \u1019\u102e\u1010\u102c&#8221;  \u1014\u103e\u1004\u1037\u103a \u100a\u102e\u1019\u103b\u103e\u1000\u103c\u1031\u102c\u1004\u103a\u1038 \u101e\u1010\u102d\u1015\u103c\u102f\u1015\u102b\u104b \u104e\u1004\u103a\u1038\u101e\u100a\u103a \u1015\u103c\u102e\u1038\u1015\u103c\u100a\u1037\u103a\u1005\u102f\u1036\u101e\u1031\u102c multicollinearity \u1010\u1005\u103a\u1001\u102f\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u1024\u1012\u1031\u1010\u102c\u1021\u1010\u103d\u1032\u1000\u102d\u102f\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d R \u1010\u103d\u1004\u103a \u1019\u103b\u1009\u103a\u1038\u1016\u103c\u1031\u102c\u1004\u1037\u103a\u1006\u102f\u1010\u103a\u101a\u102f\u1010\u103a\u1019\u103e\u102f\u1015\u102f\u1036\u1005\u1036\u1000\u102d\u102f \u1021\u1036\u101d\u1004\u103a\u1001\u103d\u1004\u103a\u1000\u103b\u1016\u103c\u1005\u103a\u1021\u1031\u102c\u1004\u103a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u1000\u103c\u102d\u102f\u1038\u1005\u102c\u1038\u1015\u102b\u1000\u104a \u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u101e\u1030\u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a &#8220; \u1019\u102e\u1010\u102c&#8221;  \u1021\u1010\u103d\u1000\u103a \u1000\u102d\u1014\u103a\u1038\u1002\u100f\u1014\u103a\u1038\u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1011\u102f\u1010\u103a\u1015\u103c\u1014\u103a\u1014\u102d\u102f\u1004\u103a\u1019\u100a\u103a \u1019\u101f\u102f\u1010\u103a\u1015\u102b\u104b<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define data\n<\/span>df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (weight=c(400, 460, 470, 475, 490, 440, 430, 490, 500, 540),\n                 m=c(1.3, .7, .6, 1.3, 1.2, 1.5, 1.2, 1.6, 1.1, 1.4),\n                 cm=c(130, 70, 60, 130, 120, 150, 120, 160, 110, 140))\n\n<span style=\"color: #008080;\">#fit multiple linear regression model\n<\/span>model &lt;- lm(weight~m+cm, data=df)\n\n<span style=\"color: #008080;\">#view summary of model\n<\/span>summary(model)\n\nCall:\nlm(formula = weight ~ m + cm, data = df)\n\nResiduals:\n    Min 1Q Median 3Q Max \n-70,501 -25,501 5,183 19,499 68,590 \n\nCoefficients: (1 not defined because of singularities)\n            Estimate Std. Error t value Pr(&gt;|t|)    \n(Intercept) 458,676 53,403 8,589 2.61e-05 ***\nm 9.096 43.473 0.209 0.839    \ncm NA NA NA NA    \n---\nSignificant. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n\nResidual standard error: 41.9 on 8 degrees of freedom\nMultiple R-squared: 0.005442, Adjusted R-squared: -0.1189 \nF-statistic: 0.04378 on 1 and 8 DF, p-value: 0.8395<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>2. \u1000\u103c\u102d\u102f\u1010\u1004\u103a\u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a\u101e\u100a\u103a \u1021\u1001\u103c\u102c\u1038\u1010\u1005\u103a\u1001\u102f\u104f \u1021\u101e\u103d\u1004\u103a\u1015\u103c\u1031\u102c\u1004\u103a\u1038\u1017\u102c\u1038\u101b\u103e\u1004\u103a\u1038\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u1018\u1010\u103a\u1005\u1000\u1010\u103a\u1018\u1031\u102c\u1000\u1005\u102c\u1038\u101e\u1019\u102c\u1038\u1019\u103b\u102c\u1038\u104f \u1021\u1006\u1004\u1037\u103a\u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u101b\u1014\u103a &#8220; \u1021\u1019\u103e\u1010\u103a\u1019\u103b\u102c\u1038&#8221;  \u1014\u103e\u1004\u1037\u103a &#8220; \u1005\u1000\u1031\u1038\u101b\u1019\u103e\u1010\u103a\u1019\u103b\u102c\u1038&#8221;  \u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101c\u102d\u102f\u101e\u100a\u103a\u1006\u102d\u102f\u1015\u102b\u1005\u102d\u102f\u1037\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u1019\u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101c\u1032\u1014\u102d\u102f\u1004\u103a\u101e\u1031\u102c \u201c\u1005\u1000\u1031\u1038\u101b\u1019\u103e\u1010\u103a\u1019\u103b\u102c\u1038\u201d \u1000\u102d\u102f \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1021\u1010\u102d\u102f\u1004\u103a\u1038 \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u101e\u100a\u103a\u1006\u102d\u102f\u1015\u102b\u1005\u102d\u102f\u1037\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u1021\u1010\u102d\u102f\u1004\u103a\u1038\u1021\u1010\u102c\u1019\u103e\u1010\u103a\u1019\u103b\u102c\u1038 = (\u1021\u1019\u103e\u1010\u103a \u2013 \u00b5 <sub>\u1021\u1019\u103e\u1010\u103a\u1019\u103b\u102c\u1038<\/sub> ) \/ \u03c3 <sub>\u1019\u103e\u1010\u103a\u1019\u103b\u102c\u1038<\/sub><\/span><\/p>\n<p> <span style=\"color: #000000;\">\u1024\u1021\u101b\u102c\u101e\u100a\u103a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u104f\u1012\u1031\u1010\u102c\u1021\u1010\u103d\u1032\u1000\u1032\u1037\u101e\u102d\u102f\u1037 \u1016\u103c\u1005\u103a\u1000\u1031\u102c\u1004\u103a\u1038\u1016\u103c\u1005\u103a\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a-<\/span> <\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-19693 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/parfaitmult5.png\" alt=\"\" width=\"275\" height=\"307\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">&#8220; \u1005\u1000\u1031\u1038\u1001\u103b\u1011\u102c\u1038\u101e\u1031\u102c \u1021\u1019\u103e\u1010\u103a\u1019\u103b\u102c\u1038&#8221;  \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u101e\u100a\u103a \u101b\u102d\u102f\u1038\u101b\u102d\u102f\u1038 &#8220; \u1021\u1019\u103e\u1010\u103a\u1019\u103b\u102c\u1038&#8221;  \u104f \u1005\u1036\u1017\u102c\u1038\u101b\u103e\u1004\u103a\u1038\u1010\u1005\u103a\u1001\u102f\u1016\u103c\u1005\u103a\u1000\u103c\u1031\u102c\u1004\u103a\u1038 \u101e\u1010\u102d\u1015\u103c\u102f\u1015\u102b\u104b \u1024\u101e\u100a\u103a\u1019\u103e\u102c \u1015\u103c\u102e\u1038\u1015\u103c\u100a\u1037\u103a\u1005\u102f\u1036\u101e\u1031\u102c multicollinearity \u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u1024\u1012\u1031\u1010\u102c\u1021\u1010\u103d\u1032\u1000\u102d\u102f\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d R \u1010\u103d\u1004\u103a \u1019\u103b\u1009\u103a\u1038\u1016\u103c\u1031\u102c\u1004\u1037\u103a\u1006\u102f\u1010\u103a\u101a\u102f\u1010\u103a\u1019\u103e\u102f\u1015\u102f\u1036\u1005\u1036\u1000\u102d\u102f \u1021\u1036\u101d\u1004\u103a\u1001\u103d\u1004\u103a\u1000\u103b\u1016\u103c\u1005\u103a\u1021\u1031\u102c\u1004\u103a \u1000\u103c\u102d\u102f\u1038\u1005\u102c\u1038\u1015\u102b\u1000\u104a &#8220; \u1005\u1000\u1031\u1038\u1001\u103b\u1011\u102c\u1038\u101e\u1031\u102c \u1021\u1019\u103e\u1010\u103a\u1019\u103b\u102c\u1038&#8221;  \u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a\u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a\u1021\u1010\u103d\u1000\u103a \u1000\u102d\u1014\u103a\u1038\u1002\u100f\u1014\u103a\u1038\u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1011\u102f\u1010\u103a\u101c\u102f\u1015\u103a\u1014\u102d\u102f\u1004\u103a\u1019\u100a\u103a\u1019\u101f\u102f\u1010\u103a\u1015\u102b-<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define data\n<\/span>df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (rating=c(88, 83, 90, 94, 96, 78, 79, 91, 90, 82),\n                 pts=c(17, 19, 24, 29, 33, 15, 14, 29, 25, 22))\n\ndf$scaled_pts &lt;- (df$pts - mean(df$pts)) \/ sd(df$pts)\n\n<span style=\"color: #008080;\">#fit multiple linear regression model\n<\/span>model &lt;- lm(rating~pts+scaled_pts, data=df)\n\n<span style=\"color: #008080;\">#view summary of model\n<\/span>summary(model)\n\nCall:\nlm(formula = rating ~ pts + scaled_pts, data = df)\n\nResiduals:\n    Min 1Q Median 3Q Max \n-4.4932 -1.3941 -0.2935 1.3055 5.8412 \n\nCoefficients: (1 not defined because of singularities)\n            Estimate Std. Error t value Pr(&gt;|t|)    \n(Intercept) 67.4218 3.5896 18.783 6.67e-08 ***\npts 0.8669 0.1527 5.678 0.000466 ***\nscaled_pts NA NA NA NA    \n---\nSignificant. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n\nResidual standard error: 2.953 on 8 degrees of freedom\nMultiple R-squared: 0.8012, Adjusted R-squared: 0.7763 \nF-statistic: 32.23 on 1 and 8 DF, p-value: 0.0004663\n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>3. dummy \u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101c\u1032\u1014\u102d\u102f\u1004\u103a\u101e\u1031\u102c \u1011\u1031\u102c\u1004\u103a\u1001\u103b\u1031\u102c\u1000\u103a<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u1015\u103c\u102e\u1038\u1015\u103c\u100a\u1037\u103a\u1005\u102f\u1036\u101e\u1031\u102c multicollinearity \u1016\u103c\u1005\u103a\u1015\u1031\u102b\u103a\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u1037\u103a\u1014\u1031\u102c\u1000\u103a\u1011\u1015\u103a \u1007\u102c\u1010\u103a\u101c\u1019\u103a\u1038\u1000\u102d\u102f <a href=\"https:\/\/statorials.org\/my\/dummy-variable-\u1011\u1031\u102c\u1004\u103a\u1001\u103b\u1031\u102c\u1000\u103a\/\" target=\"_blank\" rel=\"noopener\">dummy variable trap<\/a> \u101f\u102f\u1001\u1031\u102b\u103a\u101e\u100a\u103a\u104b \u1006\u102f\u1010\u103a\u101a\u102f\u1010\u103a\u1019\u103e\u102f\u1015\u102f\u1036\u1005\u1036\u1010\u1005\u103a\u1001\u102f\u1010\u103d\u1004\u103a categorical variable \u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f\u101a\u1030\u104d 0\u104a 1\u104a 2 \u1005\u101e\u100a\u103a\u1016\u103c\u1004\u1037\u103a \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u101a\u1030\u1006\u1031\u102c\u1004\u103a\u101e\u100a\u1037\u103a &#8220; dummy variable&#8221;  \u101e\u102d\u102f\u1037 \u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101c\u102d\u102f\u101e\u1031\u102c\u1021\u1001\u102b\u104a<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u1025\u1015\u1019\u102c\u1021\u102c\u1038\u1016\u103c\u1004\u1037\u103a\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1040\u1004\u103a\u1004\u103d\u1031\u1000\u102d\u102f\u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u101b\u1014\u103a \u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u1014\u102d\u102f\u1004\u103a\u101e\u1031\u102c\u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a &#8220; \u1021\u101e\u1000\u103a&#8221;  \u1014\u103e\u1004\u1037\u103a &#8220; \u1021\u102d\u1019\u103a\u1011\u1031\u102c\u1004\u103a\u101b\u1031\u1038\u1021\u1001\u103c\u1031\u1021\u1014\u1031&#8221;  \u1000\u102d\u102f\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101c\u102d\u102f\u101e\u100a\u103a\u1006\u102d\u102f\u1000\u103c\u1015\u102b\u1005\u102d\u102f\u1037\u104b<\/span> <\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-13944 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/mannequin4.png\" alt=\"\" width=\"248\" height=\"311\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">&#8220; \u1021\u102d\u1019\u103a\u1011\u1031\u102c\u1004\u103a\u101b\u1031\u1038\u1021\u1001\u103c\u1031\u1021\u1014\u1031&#8221;  \u1000\u102d\u102f \u1000\u103c\u102d\u102f\u1010\u1004\u103a\u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u1014\u102d\u102f\u1004\u103a\u101e\u1031\u102c\u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a\u1021\u1016\u103c\u1005\u103a \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101b\u1014\u103a\u104a \u104e\u1004\u103a\u1038\u1000\u102d\u102f \u1021\u101b\u102f\u1015\u103a\u1015\u103c\u1031\u102c\u1004\u103a\u1038\u1000\u102d\u1014\u103a\u1038\u1021\u1016\u103c\u1005\u103a \u1026\u1038\u1005\u103d\u102c\u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101c\u1032\u101b\u1015\u102b\u1019\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u1011\u102d\u102f\u101e\u102d\u102f\u1037\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u101b\u1014\u103a\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a &#8220; Single&#8221;  \u1000\u102d\u102f \u1021\u1001\u103c\u1031\u1001\u1036\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1021\u1016\u103c\u1005\u103a \u1011\u102c\u1038\u1001\u1032\u1037\u1014\u102d\u102f\u1004\u103a\u1015\u103c\u102e\u1038\u104a 0 \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a 1 \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1021\u1010\u102d\u102f\u1004\u103a\u1038 &#8220; \u1021\u102d\u1019\u103a\u1011\u1031\u102c\u1004\u103a\u101e\u100a\u103a&#8221;  \u1014\u103e\u1004\u1037\u103a &#8220; \u1000\u103d\u102c\u101b\u103e\u1004\u103a\u1038\u1001\u103c\u1004\u103a\u1038&#8221;  \u101e\u102d\u102f\u1037 \u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1015\u1031\u1038\u101e\u1031\u102c\u1000\u103c\u1031\u102c\u1004\u1037\u103a\u104a<\/span> <\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-13950 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/mannequin6.png\" alt=\"\" width=\"639\" height=\"323\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">\u1021\u1019\u103e\u102c\u1038\u1010\u1005\u103a\u1001\u102f\u101e\u100a\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1021\u1010\u102d\u102f\u1004\u103a\u1038 dummy variable \u101e\u102f\u1036\u1038\u1001\u102f\u1000\u102d\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u101b\u1014\u103a \u1019\u103e\u102c\u1038\u101a\u103d\u1004\u103a\u1038\u1014\u1031\u101c\u102d\u1019\u1037\u103a\u1019\u100a\u103a \u104b<\/span> <\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-13973 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/mannequinvartrap1.png\" alt=\"\" width=\"665\" height=\"298\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">\u1024\u1000\u102d\u1005\u1039\u1005\u1010\u103d\u1004\u103a\u104a &#8220; Single&#8221;  variable \u101e\u100a\u103a &#8220; \u1021\u102d\u1019\u103a\u1011\u1031\u102c\u1004\u103a\u101e\u100a\u103a&#8221;  \u1014\u103e\u1004\u1037\u103a &#8220; \u1000\u103d\u102c\u101b\u103e\u1004\u103a\u1038\u1015\u103c\u1010\u103a\u1005\u1032\u1001\u103c\u1004\u103a\u1038&#8221;  variable \u1019\u103b\u102c\u1038\u104f \u1015\u103c\u102e\u1038\u1015\u103c\u100a\u1037\u103a\u1005\u102f\u1036\u101e\u1031\u102c linear \u1015\u1031\u102b\u1004\u103a\u1038\u1005\u1015\u103a\u1019\u103e\u102f\u1010\u1005\u103a\u1001\u102f\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b \u1024\u101e\u100a\u103a\u1019\u103e\u102c \u1015\u103c\u102e\u1038\u1015\u103c\u100a\u1037\u103a\u1005\u102f\u1036\u101e\u1031\u102c multicollinearity \u104f \u1025\u1015\u1019\u102c\u1010\u1005\u103a\u1001\u102f\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u1024\u1012\u1031\u1010\u102c\u1021\u1010\u103d\u1032\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d R \u1010\u103d\u1004\u103a \u1019\u103b\u1009\u103a\u1038\u1000\u103c\u1031\u102c\u1004\u103a\u1038\u1015\u103c\u1014\u103a\u1006\u102f\u1010\u103a\u1019\u103e\u102f\u1015\u102f\u1036\u1005\u1036 \u1021\u1019\u103b\u102c\u1038\u1021\u1015\u103c\u102c\u1038\u1000\u102d\u102f \u1021\u1036\u101d\u1004\u103a\u1001\u103d\u1004\u103a\u1000\u103b\u1016\u103c\u1005\u103a\u1021\u1031\u102c\u1004\u103a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u1000\u103c\u102d\u102f\u1038\u1005\u102c\u1038\u1015\u102b\u1000\u104a \u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u101e\u1030\u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1021\u1010\u103d\u1000\u103a \u1000\u102d\u1014\u103a\u1038\u1002\u100f\u1014\u103a\u1038\u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037 \u1011\u102f\u1010\u103a\u101c\u102f\u1015\u103a\u1014\u102d\u102f\u1004\u103a\u1019\u100a\u103a\u1019\u101f\u102f\u1010\u103a\u1015\u102b-<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define data\n<\/span>df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (income=c(45, 48, 54, 57, 65, 69, 78, 83, 98, 104, 107),\n                 age=c(23, 25, 24, 29, 38, 36, 40, 59, 56, 64, 53),\n                 single=c(1, 1, 1, 1, 0, 1, 0, 1, 1, 0, 0),\n                 married=c(0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1),\n                 divorced=c(0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0))\n\n<span style=\"color: #008080;\">#fit multiple linear regression model\n<\/span>model &lt;- lm(income~age+single+married+divorced, data=df)\n\n<span style=\"color: #008080;\">#view summary of model\n<\/span>summary(model)\n\nCall:\nlm(formula = income ~ age + single + married + divorced, data = df)\n\nResiduals:\n    Min 1Q Median 3Q Max \n-9.7075 -5.0338 0.0453 3.3904 12.2454 \n\nCoefficients: (1 not defined because of singularities)\n            Estimate Std. Error t value Pr(&gt;|t|)   \n(Intercept) 16.7559 17.7811 0.942 0.37739   \nage 1.4717 0.3544 4.152 0.00428 **\nsingle -2.4797 9.4313 -0.263 0.80018   \nmarried NA NA NA NA   \ndivorced -8.3974 12.7714 -0.658 0.53187   \n---\nSignificant. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n\nResidual standard error: 8.391 on 7 degrees of freedom\nMultiple R-squared: 0.9008, Adjusted R-squared: 0.8584 \nF-statistic: 21.2 on 3 and 7 DF, p-value: 0.0006865\n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\u1011\u1015\u103a\u101c\u1031\u102c\u1004\u103a\u1038\u1021\u101b\u1004\u103a\u1038\u1021\u1019\u103c\u1005\u103a\u1019\u103b\u102c\u1038<\/strong><\/span><\/h3>\n<p> <a href=\"https:\/\/statorials.org\/my\/multicollinearity-\u1006\u102f\u1010\u103a\u101a\u102f\u1010\u103a\u1019\u103e\u102f\/\" target=\"_blank\" rel=\"noopener\">Regression \u101b\u103e\u102d Multicollinearity \u1014\u103e\u1004\u1037\u103a VIF \u1021\u1010\u103d\u1000\u103a\u101c\u1019\u103a\u1038\u100a\u103d\u103e\u1014\u103a<\/a><br \/> <a href=\"https:\/\/statorials.org\/my\/varianance-inflation-factor-r\/\" target=\"_blank\" rel=\"noopener\">R \u1016\u103c\u1004\u1037\u103a VIF \u1010\u103d\u1000\u103a\u1014\u100a\u103a\u1038<\/a><br \/> <a href=\"https:\/\/statorials.org\/my\/python-\u1010\u103d\u1004\u103a-vive-\u1010\u103d\u1000\u103a\u1014\u100a\u103a\u1038\/\" target=\"_blank\" rel=\"noopener\">Python \u1010\u103d\u1004\u103a VIF \u1010\u103d\u1000\u103a\u1014\u100a\u103a\u1038<\/a><br \/> <a href=\"https:\/\/statorials.org\/my\/excel-\u1019\u103e\u102c-vive-\u1010\u103d\u1000\u103a\u1014\u100a\u103a\u1038\/\" target=\"_blank\" rel=\"noopener\">Excel \u1010\u103d\u1004\u103a VIF \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u1014\u100a\u103a\u1038<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u1005\u102c\u101b\u1004\u103a\u1038\u1007\u101a\u102c\u1038\u1019\u103b\u102c\u1038\u1010\u103d\u1004\u103a\u104a \u1000\u102d\u1014\u103a\u1038\u1002\u100f\u1014\u103a\u1038\u1014\u103e\u1005\u103a\u1001\u102f \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a \u1014\u103e\u1005\u103a\u1001\u102f\u1011\u1000\u103a\u1015\u102d\u102f\u101e\u1031\u102c \u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u1014\u102d\u102f\u1004\u103a\u101e\u1031\u102c\u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a\u1019\u103b\u102c\u1038\u101e\u100a\u103a \u1010\u1005\u103a\u1001\u102f\u1014\u103e\u1004\u1037\u103a\u1010\u1005\u103a\u1001\u102f \u1021\u101c\u103d\u1014\u103a\u1006\u1000\u103a\u1005\u1015\u103a\u1014\u1031\u101e\u1031\u102c\u1021\u1001\u102b\u104a \u104e\u1004\u103a\u1038\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1006\u102f\u1010\u103a\u101a\u102f\u1010\u103a\u1019\u103e\u102f\u1015\u102f\u1036\u1005\u1036\u1010\u103d\u1004\u103a \u1011\u1030\u1038\u1001\u103c\u102c\u1038\u101e\u1031\u102c \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a \u1021\u1019\u103e\u102e\u1021\u1001\u102d\u102f\u1000\u1004\u103a\u1038\u101e\u1031\u102c \u1021\u1001\u103b\u1000\u103a\u1021\u101c\u1000\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1015\u1031\u1038\u1005\u103d\u1019\u103a\u1038\u1014\u102d\u102f\u1004\u103a\u1001\u103c\u1004\u103a\u1038 \u1019\u101b\u103e\u102d\u101e\u100a\u1037\u103a\u1021\u1001\u102b\u1010\u103d\u1004\u103a \u1000\u102d\u1014\u103a\u1038\u1002\u100f\u1014\u103a\u1038\u1019\u103b\u102c\u1038 \u1015\u1031\u102b\u1004\u103a\u1038\u1005\u1015\u103a \u1016\u103c\u1005\u103a\u1015\u1031\u102b\u103a\u1019\u103e\u102f \u1016\u103c\u1005\u103a\u1015\u1031\u102b\u103a\u101e\u100a\u103a\u104b \u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a\u1019\u103b\u102c\u1038\u1000\u103c\u102c\u1038\u1010\u103d\u1004\u103a \u1006\u1000\u103a\u1005\u1015\u103a\u1006\u1000\u103a\u1005\u1015\u103a\u1019\u103e\u102f\u1012\u102e\u1002\u101b\u102e\u101e\u100a\u103a \u101c\u102f\u1036\u101c\u1031\u102c\u1000\u103a\u1005\u103d\u102c\u1019\u103c\u1004\u1037\u103a\u1019\u102c\u1038\u1015\u102b\u1000\u104a \u104e\u1004\u103a\u1038\u101e\u100a\u103a \u1006\u102f\u1010\u103a\u101a\u102f\u1010\u103a\u1019\u103e\u102f\u1015\u102f\u1036\u1005\u1036\u1000\u102d\u102f \u1021\u1036\u101d\u1004\u103a\u1001\u103d\u1004\u103a\u1000\u103b\u1016\u103c\u1005\u103a\u1005\u1031\u1015\u103c\u102e\u1038 \u1021\u1014\u1000\u103a\u1015\u103c\u1014\u103a\u1006\u102d\u102f\u101b\u102c\u1010\u103d\u1004\u103a \u1015\u103c\u103f\u1014\u102c\u1019\u103b\u102c\u1038\u1016\u103c\u1005\u103a\u1005\u1031\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b Multicollinearity \u104f \u1021\u1006\u102d\u102f\u1038\u101b\u103d\u102c\u1038\u1006\u102f\u1036\u1038\u1016\u103c\u1005\u103a\u101b\u1015\u103a\u1000\u102d\u102f perfect multicollinearity \u101f\u102f\u1001\u1031\u102b\u103a\u101e\u100a\u103a\u104b \u1000\u103c\u102d\u102f\u1010\u1004\u103a\u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a \u1014\u103e\u1005\u103a\u1001\u102f \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a \u1011\u102d\u102f\u1037\u1011\u1000\u103a\u1015\u102d\u102f\u101e\u1031\u102c \u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a\u1019\u103b\u102c\u1038\u101e\u100a\u103a \u1010\u1005\u103a\u1001\u102f\u1014\u103e\u1004\u1037\u103a\u1010\u1005\u103a\u1001\u102f \u1010\u102d\u1000\u103b\u101e\u1031\u102c linear \u1006\u1000\u103a\u1014\u103d\u101a\u103a\u1019\u103e\u102f\u101b\u103e\u102d\u101e\u1031\u102c\u1021\u1001\u102b \u104e\u1004\u103a\u1038\u101e\u100a\u103a \u1016\u103c\u1005\u103a\u1015\u1031\u102b\u103a\u101e\u100a\u103a\u104b \u1025\u1015\u1019\u102c\u1021\u102c\u1038\u1016\u103c\u1004\u1037\u103a\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u1010\u103d\u1004\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1012\u1031\u1010\u102c\u1021\u1005\u102f\u1036\u101b\u103e\u102d\u101e\u100a\u103a\u1006\u102d\u102f\u1015\u102b\u1005\u102d\u102f\u1037\u104b \u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u101e\u1030 variable x 2 \u104f\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u101e\u100a\u103a \u101b\u102d\u102f\u1038\u101b\u102d\u102f\u1038 x 1 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u1015\u103c\u102e\u1038\u1015\u103c\u100a\u1037\u103a\u1005\u102f\u1036\u101e\u1031\u102c Multicollinearity \u1006\u102d\u102f\u101e\u100a\u103a\u1019\u103e\u102c \u1021\u1018\u101a\u103a\u1014\u100a\u103a\u1038\u104b (\u1021\u1013\u102d\u1015\u1039\u1015\u102b\u101a\u103a\u1014\u103e\u1004\u1037\u103a \u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038) - Statology<\/title>\n<meta name=\"description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u101e\u100a\u103a \u1010\u101b\u102c\u1038\u101d\u1004\u103a \u1021\u1013\u102d\u1015\u1039\u1015\u102b\u101a\u103a\u1016\u103d\u1004\u1037\u103a\u1006\u102d\u102f\u1001\u103b\u1000\u103a\u1014\u103e\u1004\u1037\u103a \u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1005\u103d\u102c \u1021\u1015\u102b\u1021\u101d\u1004\u103a \u1015\u103c\u102e\u1038\u1015\u103c\u100a\u1037\u103a\u1005\u102f\u1036\u101e\u1031\u102c \u1000\u1031\u102c\u103a\u101c\u102d\u102f\u1004\u103a\u1038\u1015\u1031\u102b\u1004\u103a\u1038\u1005\u102f\u1036\u104f \u101b\u103e\u1004\u103a\u1038\u101c\u1004\u103a\u1038\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1015\u1031\u1038\u1015\u102b\u101e\u100a\u103a\u104b\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/my\/\u1015\u103c\u102e\u1038\u1015\u103c\u100a\u1037\u103a\u1005\u102f\u1036\u101e\u1031\u102c-multicollinearite\/\" \/>\n<meta property=\"og:locale\" content=\"my_MM\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u1015\u103c\u102e\u1038\u1015\u103c\u100a\u1037\u103a\u1005\u102f\u1036\u101e\u1031\u102c Multicollinearity \u1006\u102d\u102f\u101e\u100a\u103a\u1019\u103e\u102c \u1021\u1018\u101a\u103a\u1014\u100a\u103a\u1038\u104b (\u1021\u1013\u102d\u1015\u1039\u1015\u102b\u101a\u103a\u1014\u103e\u1004\u1037\u103a \u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038) - Statology\" \/>\n<meta property=\"og:description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u101e\u100a\u103a \u1010\u101b\u102c\u1038\u101d\u1004\u103a \u1021\u1013\u102d\u1015\u1039\u1015\u102b\u101a\u103a\u1016\u103d\u1004\u1037\u103a\u1006\u102d\u102f\u1001\u103b\u1000\u103a\u1014\u103e\u1004\u1037\u103a \u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1005\u103d\u102c \u1021\u1015\u102b\u1021\u101d\u1004\u103a \u1015\u103c\u102e\u1038\u1015\u103c\u100a\u1037\u103a\u1005\u102f\u1036\u101e\u1031\u102c \u1000\u1031\u102c\u103a\u101c\u102d\u102f\u1004\u103a\u1038\u1015\u1031\u102b\u1004\u103a\u1038\u1005\u102f\u1036\u104f \u101b\u103e\u1004\u103a\u1038\u101c\u1004\u103a\u1038\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1015\u1031\u1038\u1015\u102b\u101e\u100a\u103a\u104b\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/my\/\u1015\u103c\u102e\u1038\u1015\u103c\u100a\u1037\u103a\u1005\u102f\u1036\u101e\u1031\u102c-multicollinearite\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-23T15:01:59+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/parfaitmult1.png\" \/>\n<meta name=\"author\" content=\"Benjamin Anderson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Benjamin Anderson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" 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