{"id":4268,"date":"2023-07-12T10:05:09","date_gmt":"2023-07-12T10:05:09","guid":{"rendered":"https:\/\/statorials.org\/my\/lm-%e1%80%80%e1%80%ad%e1%80%af-r-%e1%80%90%e1%80%bd%e1%80%84%e1%80%ba-%e1%80%81%e1%80%bd%e1%80%b2%e1%80%91%e1%80%ac%e1%80%b8%e1%80%9e%e1%80%8a%e1%80%ba%e1%81%8b\/"},"modified":"2023-07-12T10:05:09","modified_gmt":"2023-07-12T10:05:09","slug":"lm-%e1%80%80%e1%80%ad%e1%80%af-r-%e1%80%90%e1%80%bd%e1%80%84%e1%80%ba-%e1%80%81%e1%80%bd%e1%80%b2%e1%80%91%e1%80%ac%e1%80%b8%e1%80%9e%e1%80%8a%e1%80%ba%e1%81%8b","status":"publish","type":"post","link":"https:\/\/statorials.org\/my\/lm-%e1%80%80%e1%80%ad%e1%80%af-r-%e1%80%90%e1%80%bd%e1%80%84%e1%80%ba-%e1%80%81%e1%80%bd%e1%80%b2%e1%80%91%e1%80%ac%e1%80%b8%e1%80%9e%e1%80%8a%e1%80%ba%e1%81%8b\/","title":{"rendered":"R \u1010\u103d\u1004\u103a lm() function \u1015\u102b\u101e\u1031\u102c \u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u1021\u1015\u102d\u102f\u1004\u103a\u1038\u1001\u103d\u1032\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101b\u1019\u100a\u103a\u1014\u100a\u103a\u1038\u104b"},"content":{"rendered":"

<\/p>\n

\n

lm() \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f R \u1010\u103d\u1004\u103a \u1006\u102f\u1010\u103a\u101a\u102f\u1010\u103a\u1019\u103e\u102f\u1015\u102f\u1036\u1005\u1036\u1014\u103e\u1004\u1037\u103a \u1021\u1036\u101d\u1004\u103a\u1001\u103d\u1004\u103a\u1000\u103b\u1016\u103c\u1005\u103a\u1005\u1031\u101b\u1014\u103a\u1021\u1010\u103d\u1000\u103a lm()<\/a> \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101e\u1031\u102c\u1021\u1001\u102b\u1010\u103d\u1004\u103a \u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u1010\u1005\u103a\u1001\u102f\u104f \u1021\u1005\u102f\u1001\u103d\u1032\u1010\u1005\u103a\u1001\u102f\u101e\u102c \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101b\u1014\u103a \u1021\u1005\u102f\u1001\u103d\u1032<\/strong> \u1021\u1004\u103c\u1004\u103a\u1038\u1021\u1001\u102f\u1036\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n

 fit <- lm(points ~ fouls + minutes, data=df, subset=(minutes><\/span> 10<\/span> ))<\/span><\/strong><\/pre>\n
 \u1024\u1025\u1015\u1019\u102c\u101e\u100a\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 \u1021\u1019\u103e\u1010\u103a\u1019\u103b\u102c\u1038<\/strong> \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1000\u102c \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\u1019\u103b\u102c\u1038\u1021\u1016\u103c\u1005\u103a \u101c\u1030\u1005\u102f\u101c\u1030\u101d\u1031\u1038<\/strong> \u1014\u103e\u1004\u1037\u103a \u1019\u102d\u1014\u1005\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f<\/strong> \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\u1014\u103e\u1004\u1037\u103a \u101e\u1000\u103a\u1006\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1006\u102f\u1010\u103a\u101a\u102f\u1010\u103a\u1019\u103e\u102f<\/strong> \u1015\u102f\u1036\u1005\u1036\u1014\u103e\u1004\u1037\u103a \u1021\u1036\u101d\u1004\u103a\u1001\u103d\u1004\u103a\u1000\u103b\u1016\u103c\u1005\u103a\u101e\u100a\u1037\u103a\u1021\u1001\u102b \u1019\u102d\u1014\u1005\u103a<\/strong> \u1019\u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101c\u1032\u1014\u102d\u102f\u1004\u103a\u101e\u1031\u102c \u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a 10 \u1011\u1000\u103a\u1000\u103c\u102e\u1038\u101e\u1031\u102c \u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u101b\u103e\u102d \u1021\u1010\u1014\u103a\u1038\u1001\u103d\u1032\u1019\u103b\u102c\u1038\u1019\u103e \u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f\u101e\u102c \u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1015\u1031\u1038\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u1025\u1015\u1019\u102c\u101e\u100a\u103a \u1024 syntax \u1000\u102d\u102f \u101c\u1000\u103a\u1010\u103d\u1031\u1037\u1010\u103d\u1004\u103a \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101b\u1019\u100a\u103a\u1000\u102d\u102f \u1015\u103c\u101e\u1011\u102c\u1038\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1025\u1015\u1019\u102c- R \u1010\u103d\u1004\u103a lm() \u1016\u103c\u1004\u1037\u103a \u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u1001\u103d\u1032\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101b\u1019\u100a\u103a\u1014\u100a\u103a\u1038\u104b<\/strong><\/span><\/h2>\n
 \u1018\u1010\u103a\u1005\u1000\u1000\u103a\u1018\u1031\u102c\u1000\u1005\u102c\u1038\u101e\u1019\u102c\u1038 10 \u101a\u1031\u102c\u1000\u103a\u1000 \u1000\u1005\u102c\u1038\u1001\u1032\u1037\u1010\u1032\u1037 \u1019\u102d\u1014\u1005\u103a\u104a \u1005\u102f\u1005\u102f\u1015\u1031\u102b\u1004\u103a\u1038 \u1015\u103c\u1005\u103a\u1001\u103b\u1000\u103a\u1010\u103d\u1031\u1014\u1032\u1037 \u1005\u102f\u1005\u102f\u1015\u1031\u102b\u1004\u103a\u1038\u101b\u1019\u103e\u1010\u103a\u1010\u103d\u1031\u1021\u1000\u103c\u1031\u102c\u1004\u103a\u1038 \u1021\u1001\u103b\u1000\u103a\u1021\u101c\u1000\u103a\u1010\u103d\u1031 \u1015\u102b\u101d\u1004\u103a\u1014\u1031\u1010\u1032\u1037 R \u1019\u103e\u102c \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u1010\u1005\u103a\u1001\u102f \u101b\u103e\u102d\u1010\u101a\u103a\u1006\u102d\u102f\u1015\u102b\u1005\u102d\u102f\u1037\u104b<\/span><\/p>\n
 #create data frame\n<\/span>df <- data. frame<\/span> (minutes=c(5, 10, 13, 14, 20, 22, 26, 34, 38, 40),\n                 fouls=c(5, 5, 3, 4, 2, 1, 3, 2, 1, 1),\n                 points=c(6, 8, 8, 7, 14, 10, 22, 24, 28, 30))\n\n#view data frame\n<\/span>df\n\n   minutes fouls points\n1 5 5 6\n2 10 5 8\n3 13 3 8\n4 14 4 7\n5 20 2 14\n6 22 1 10\n7 26 3 22\n8 34 2 24\n9 38 1 28\n10 40 1 30<\/strong><\/pre>\n
 \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b multiple linear regression model \u1000\u102d\u102f \u1000\u102d\u102f\u1000\u103a\u100a\u102e\u101c\u102d\u102f\u101e\u100a\u103a\u1006\u102d\u102f\u1015\u102b\u1005\u102d\u102f\u1037\u104b<\/span><\/p>\n
 \u1021\u1019\u103e\u1010\u103a\u1019\u103b\u102c\u1038 = \u03b2 0<\/sub> + \u03b2 1<\/sub> (\u1019\u102d\u1014\u1005\u103a) + \u03b2 2<\/sub> (\u1019\u102d\u102f\u1000\u103a\u1019\u1032\u1019\u103e\u102f\u1019\u103b\u102c\u1038)<\/strong><\/span><\/p>\n
 \u101e\u102d\u102f\u1037\u101e\u1031\u102c\u103a\u104a \u1019\u102d\u1014\u1005\u103a<\/strong> variable \u101e\u100a\u103a 10 \u1011\u1000\u103a\u1000\u103c\u102e\u1038\u101e\u1031\u102c \u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u101b\u103e\u102d \u1021\u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f\u101e\u102c \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
 \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1024 \u1006\u102f\u1010\u103a\u101a\u102f\u1010\u103a\u1019\u103e\u102f<\/strong> \u1015\u102f\u1036\u1005\u1036\u1014\u103e\u1004\u1037\u103a\u1000\u102d\u102f\u1000\u103a\u100a\u102e\u101b\u1014\u103a lm()<\/strong> \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n
 #fit multiple linear regression model (only for rows where minutes>10)\n<\/span><\/strong>fit <- lm(points ~ fouls + minutes, data=df, subset=(minutes><\/span> 10<\/span> ))\n\n#view model summary<\/span>\nsummary(fit)\n\nCall:\nlm(formula = points ~ fouls + minutes, data = df, subset = (minutes > \n    10))\n\nResiduals:\n      3 4 5 6 7 8 9 10 \n 1.2824 -2.5882 2.2000 -1.9118 2.3588 -1.7176 0.1824 0.1941 \n\nCoefficients:\n            Estimate Std. Error t value Pr(>|t|)    \n(Intercept) -11.8353 4.9696 -2.382 0.063046 .  \nfouls 1.8765 1.0791 1.739 0.142536    \nminutes 0.9941 0.1159 8.575 0.000356 ***\n---\nSignificant. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n\nResidual standard error: 2.255 on 5 degrees of freedom\nMultiple R-squared: 0.9574, Adjusted R-squared: 0.9404 \nF-statistic: 56.19 on 2 and 5 DF, p-value: 0.0003744\n<\/span><\/strong><\/pre>\n
 \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1006\u102f\u1010\u103a\u101a\u102f\u1010\u103a\u1019\u103e\u102f\u1015\u102f\u1036\u1005\u1036\u1014\u103e\u1004\u1037\u103a\u1000\u102d\u102f\u1000\u103a\u100a\u102e\u101b\u1014\u103a \u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u1019\u103e \u1005\u1030\u1038\u1005\u1019\u103a\u1038\u1019\u103e\u102f\u1019\u100a\u103a\u1019\u103b\u103e\u101b\u103e\u102d\u101e\u100a\u103a\u1000\u102d\u102f \u1000\u103c\u100a\u1037\u103a\u101b\u103e\u102f\u101b\u1014\u103a nobs()<\/strong> \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a-<\/span><\/p>\n
 #view number of observations used to fit model\n<\/span>nobs(fit)\n\n[1] 8\n<\/span><\/span><\/strong><\/pre>\n
 \u1019\u1031\u102c\u103a\u1012\u101a\u103a\u1014\u103e\u1004\u1037\u103a\u1000\u102d\u102f\u1000\u103a\u100a\u102e\u101b\u1014\u103a \u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a \u1048<\/strong> \u1010\u1014\u103a\u1038\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1001\u1032\u1037\u1000\u103c\u1031\u102c\u1004\u103a\u1038 \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u1010\u103d\u1031\u1037\u1019\u103c\u1004\u103a\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1019\u1030\u101b\u1004\u103a\u1038\u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u1000\u102d\u102f \u1000\u103c\u100a\u1037\u103a\u101c\u103b\u103e\u1004\u103a \u1021\u1010\u1014\u103a\u1038 8<\/strong> \u1010\u1014\u103a\u1038 \u1021\u1010\u102d\u1021\u1000\u103b\u101e\u100a\u103a \u1019\u102d\u1014\u1005\u103a<\/strong> variable \u1021\u1010\u103d\u1000\u103a 10 \u1011\u1000\u103a \u1000\u103c\u102e\u1038\u101e\u100a\u103a\u1000\u102d\u102f \u1010\u103d\u1031\u1037\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104a \u1006\u102d\u102f\u101c\u102d\u102f\u101e\u100a\u103a\u1019\u103e\u102c \u1011\u102d\u102f\u1021\u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f regression model \u1014\u103e\u1004\u1037\u103a \u1021\u1036\u101d\u1004\u103a\u1001\u103d\u1004\u103a\u1000\u103b\u1016\u103c\u1005\u103a\u101e\u100a\u1037\u103a\u1021\u1001\u102b\u1010\u103d\u1004\u103a\u101e\u102c \u1021\u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101e\u100a\u103a\u101f\u102f \u1006\u102d\u102f\u101c\u102d\u102f\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1021\u1001\u103c\u1031\u1021\u1014\u1031\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1021\u1015\u1031\u102b\u103a\u1021\u1001\u103c\u1031\u1001\u1036\u104d \u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u1000\u102d\u102f \u1001\u103d\u1032\u101e\u1010\u103a\u1019\u103e\u1010\u103a\u101b\u1014\u103a \u1021\u1005\u102f\u1001\u103d\u1032<\/strong> \u1021\u1004\u103c\u1004\u103a\u1038\u1015\u103d\u102c\u1038\u1019\u103e\u102f\u1010\u103d\u1004\u103a &<\/strong> \u1021\u1031\u102c\u103a\u1015\u101b\u1031\u1010\u102c\u1000\u102d\u102f\u101c\u100a\u103a\u1038 \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1025\u1015\u1019\u102c\u1021\u102c\u1038\u1016\u103c\u1004\u1037\u103a\u104a \u1019\u102d\u1014\u1005\u103a<\/strong> 10 \u1011\u1000\u103a\u1000\u103c\u102e\u1038\u1015\u103c\u102e\u1038 \u1021\u1019\u103e\u102c\u1038\u1021\u101a\u103d\u1004\u103a\u1038\u1019\u103b\u102c\u1038<\/strong> 4 \u1011\u1000\u103a\u1014\u100a\u103a\u1038\u101e\u100a\u1037\u103a \u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u101b\u103e\u102d \u1021\u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f\u101e\u102c \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 \u1000\u102d\u102f\u1000\u103a\u100a\u102e\u101b\u1014\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1021\u1011\u102c\u1038\u1021\u101e\u102d\u102f\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n
 #fit multiple linear regression model (only where minutes>10 & fouls<4)\n<\/span><\/strong>fit <- lm(points ~ fouls + minutes, data=df, subset=(minutes><\/span> 10 &<\/span> fouls< 4<\/span><\/span><\/span> ))\n\n#view number of observations used to fit model<\/span>\nnobs(fit)\n\n[1] 7\n<\/span><\/strong><\/pre>\n
 \u101b\u101c\u1012\u103a\u1019\u103e \u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u104f \u1021\u1010\u1014\u103a\u1038 \u1047<\/strong> \u1010\u1014\u103a\u1038\u1000\u102d\u102f \u1024\u1021\u1011\u1030\u1038\u1019\u1031\u102c\u103a\u1012\u101a\u103a\u1014\u103e\u1004\u1037\u103a \u1021\u1036\u101d\u1004\u103a\u1001\u103d\u1004\u103a\u1000\u103b\u1016\u103c\u1005\u103a\u1021\u1031\u102c\u1004\u103a \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1000\u103c\u1031\u102c\u1004\u103a\u1038 \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037 \u1010\u103d\u1031\u1037\u1019\u103c\u1004\u103a\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \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><\/h2>\n
 \u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1019\u103b\u102c\u1038\u101e\u100a\u103a R \u1010\u103d\u1004\u103a \u1021\u1001\u103c\u102c\u1038\u1018\u102f\u1036\u1021\u101c\u102f\u1015\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u101b\u1019\u100a\u103a\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u101e\u100a\u103a-<\/span><\/p>\n
 R \u1010\u103d\u1004\u103a \u101b\u102d\u102f\u1038\u101b\u103e\u1004\u103a\u1038\u101e\u1031\u102c linear regression \u101c\u102f\u1015\u103a\u1014\u100a\u103a\u1038<\/a>
 R \u1010\u103d\u1004\u103a linear regression \u1021\u1019\u103b\u102c\u1038\u1021\u1015\u103c\u102c\u1038\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1014\u100a\u103a\u1038<\/a>
 R \u1010\u103d\u1004\u103a\u1000\u103b\u1014\u103a\u101b\u103e\u102d\u101e\u1031\u102c\u1000\u103d\u1000\u103a\u1000\u103d\u1000\u103a\u1016\u1014\u103a\u1010\u102e\u1038\u1014\u100a\u103a\u1038<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
lm() \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f R \u1010\u103d\u1004\u103a \u1006\u102f\u1010\u103a\u101a\u102f\u1010\u103a\u1019\u103e\u102f\u1015\u102f\u1036\u1005\u1036\u1014\u103e\u1004\u1037\u103a \u1021\u1036\u101d\u1004\u103a\u1001\u103d\u1004\u103a\u1000\u103b\u1016\u103c\u1005\u103a\u1005\u1031\u101b\u1014\u103a\u1021\u1010\u103d\u1000\u103a lm() \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101e\u1031\u102c\u1021\u1001\u102b\u1010\u103d\u1004\u103a \u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u1010\u1005\u103a\u1001\u102f\u104f \u1021\u1005\u102f\u1001\u103d\u1032\u1010\u1005\u103a\u1001\u102f\u101e\u102c \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101b\u1014\u103a \u1021\u1005\u102f\u1001\u103d\u1032 \u1021\u1004\u103c\u1004\u103a\u1038\u1021\u1001\u102f\u1036\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b fit <- lm(points ~ fouls + minutes, data=df, subset=(minutes> 10 )) \u1024\u1025\u1015\u1019\u102c\u101e\u100a\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 \u1021\u1019\u103e\u1010\u103a\u1019\u103b\u102c\u1038 \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1000\u102c \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\u1019\u103b\u102c\u1038\u1021\u1016\u103c\u1005\u103a \u101c\u1030\u1005\u102f\u101c\u1030\u101d\u1031\u1038 \u1014\u103e\u1004\u1037\u103a \u1019\u102d\u1014\u1005\u103a\u1019\u103b\u102c\u1038\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\u1014\u103e\u1004\u1037\u103a \u101e\u1000\u103a\u1006\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b \u1006\u102f\u1010\u103a\u101a\u102f\u1010\u103a\u1019\u103e\u102f \u1015\u102f\u1036\u1005\u1036\u1014\u103e\u1004\u1037\u103a \u1021\u1036\u101d\u1004\u103a\u1001\u103d\u1004\u103a\u1000\u103b\u1016\u103c\u1005\u103a\u101e\u100a\u1037\u103a\u1021\u1001\u102b \u1019\u102d\u1014\u1005\u103a \u1019\u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101c\u1032\u1014\u102d\u102f\u1004\u103a\u101e\u1031\u102c \u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a 10 \u1011\u1000\u103a\u1000\u103c\u102e\u1038\u101e\u1031\u102c \u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u101b\u103e\u102d \u1021\u1010\u1014\u103a\u1038\u1001\u103d\u1032\u1019\u103b\u102c\u1038\u1019\u103e \u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f\u101e\u102c \u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1015\u1031\u1038\u101e\u100a\u103a\u104b \u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u1025\u1015\u1019\u102c\u101e\u100a\u103a \u1024 syntax \u1000\u102d\u102f \u101c\u1000\u103a\u1010\u103d\u1031\u1037\u1010\u103d\u1004\u103a […]<\/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":"\nR - Statology \u1010\u103d\u1004\u103a lm() \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1016\u103c\u1004\u1037\u103a \u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u1001\u103d\u1032\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101b\u1019\u100a\u103a\u1014\u100a\u103a\u1038\u104b<\/title>\n<meta name=\"description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a R \u1010\u103d\u1004\u103a lm() \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1016\u103c\u1004\u1037\u103a \u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u1010\u1005\u103a\u1001\u102f\u104f \u1021\u1005\u102f\u1001\u103d\u1032\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101b\u1015\u102f\u1036\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u1011\u102c\u1038\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\/lm-\u1000\u102d\u102f-r-\u1010\u103d\u1004\u103a-\u1001\u103d\u1032\u1011\u102c\u1038\u101e\u100a\u103a\u104b\/\" \/>\n<meta property=\"og:locale\" content=\"my_MM\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"R - Statology \u1010\u103d\u1004\u103a lm() \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1016\u103c\u1004\u1037\u103a \u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u1001\u103d\u1032\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101b\u1019\u100a\u103a\u1014\u100a\u103a\u1038\u104b\" \/>\n<meta property=\"og:description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a R \u1010\u103d\u1004\u103a lm() \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1016\u103c\u1004\u1037\u103a \u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u1010\u1005\u103a\u1001\u102f\u104f \u1021\u1005\u102f\u1001\u103d\u1032\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101b\u1015\u102f\u1036\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u1011\u102c\u1038\u101e\u100a\u103a\u104b\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/my\/lm-\u1000\u102d\u102f-r-\u1010\u103d\u1004\u103a-\u1001\u103d\u1032\u1011\u102c\u1038\u101e\u100a\u103a\u104b\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-12T10:05:09+00:00\" \/>\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=\"1 minute\" \/>\n<script type=\"application\/ld+json\" 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\u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101b\u1019\u100a\u103a\u1014\u100a\u103a\u1038\u104b\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/my\/#website\"},\"datePublished\":\"2023-07-12T10:05:09+00:00\",\"dateModified\":\"2023-07-12T10:05:09+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/my\/#\/schema\/person\/e47470981684a202f7ed4c0cb1e10097\"},\"description\":\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a R \u1010\u103d\u1004\u103a lm() \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1016\u103c\u1004\u1037\u103a \u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u1010\u1005\u103a\u1001\u102f\u104f \u1021\u1005\u102f\u1001\u103d\u1032\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101b\u1015\u102f\u1036\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u1011\u102c\u1038\u101e\u100a\u103a\u104b\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/my\/lm-%e1%80%80%e1%80%ad%e1%80%af-r-%e1%80%90%e1%80%bd%e1%80%84%e1%80%ba-%e1%80%81%e1%80%bd%e1%80%b2%e1%80%91%e1%80%ac%e1%80%b8%e1%80%9e%e1%80%8a%e1%80%ba%e1%81%8b\/#breadcrumb\"},\"inLanguage\":\"my-MM\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/my\/lm-%e1%80%80%e1%80%ad%e1%80%af-r-%e1%80%90%e1%80%bd%e1%80%84%e1%80%ba-%e1%80%81%e1%80%bd%e1%80%b2%e1%80%91%e1%80%ac%e1%80%b8%e1%80%9e%e1%80%8a%e1%80%ba%e1%81%8b\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/my\/lm-%e1%80%80%e1%80%ad%e1%80%af-r-%e1%80%90%e1%80%bd%e1%80%84%e1%80%ba-%e1%80%81%e1%80%bd%e1%80%b2%e1%80%91%e1%80%ac%e1%80%b8%e1%80%9e%e1%80%8a%e1%80%ba%e1%81%8b\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"\u1021\u102d\u1019\u103a\",\"item\":\"https:\/\/statorials.org\/my\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"R 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