{"id":475,"date":"2023-07-29T19:05:27","date_gmt":"2023-07-29T19:05:27","guid":{"rendered":"https:\/\/statorials.org\/my\/polynomial-regression-r\/"},"modified":"2023-07-29T19:05:27","modified_gmt":"2023-07-29T19:05:27","slug":"polynomial-regression-r","status":"publish","type":"post","link":"https:\/\/statorials.org\/my\/polynomial-regression-r\/","title":{"rendered":"R \u1010\u103d\u1004\u103a polynomial regression (\u1010\u1005\u103a\u1006\u1004\u1037\u103a\u1015\u103c\u102e\u1038\u1010\u1005\u103a\u1006\u1004\u1037\u103a)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><a href=\"https:\/\/statorials.org\/my\/polynomial-\u1006\u102f\u1010\u103a\u101a\u102f\u1010\u103a\u1019\u103e\u102f-\u1041\/\" target=\"_blank\" rel=\"noopener noreferrer\">Polynomial regression<\/a> \u101e\u100a\u103a \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\u1004\u1037\u103a <a href=\"https:\/\/statorials.org\/my\/\u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101c\u1032\u1014\u102d\u102f\u1004\u103a\u101e\u1031\u102c-\u101b\u103e\u1004\u103a\u1038\u101c\u1004\u103a\u1038\u1001\u103b\u1000\u103a-\u1010\u102f\u1036\u1037\u1015\u103c\u1014\u103a\u1019\u103e\u102f\u1019\u103b\u102c\u1038\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u1010\u102f\u1036\u1037\u1015\u103c\u1014\u103a\u1019\u103e\u102f\u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a<\/a> \u101e\u100a\u103a linear \u1019\u101f\u102f\u1010\u103a\u101e\u100a\u1037\u103a\u1021\u1001\u102b \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\u1037\u103a \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1010\u1005\u103a\u1001\u102f\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u1024\u1006\u102f\u1010\u103a\u101a\u102f\u1010\u103a\u1019\u103e\u102f\u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u101e\u100a\u103a \u1015\u102f\u1036\u1005\u1036\u101a\u1030\u101e\u100a\u103a-<\/span><\/p>\n<p> <span style=\"color: #000000;\">Y = \u03b2 <sub>0<\/sub> <sup>+<\/sup> \u03b2 <sub>1<\/sub> X + \u03b2 <sub>2<\/sub> X <sup>2<\/sup> + \u2026 + \u03b2 <sub>h<\/sub><\/span><\/p>\n<p> <span style=\"color: #000000;\"><em>h<\/em> \u101e\u100a\u103a polynomial \u104f &#8220; \u1012\u102e\u1002\u101b\u102e&#8221;  \u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u101e\u100a\u103a R \u1010\u103d\u1004\u103a polynomial regression \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1015\u102f\u1036\u1021\u1006\u1004\u1037\u103a\u1006\u1004\u1037\u103a\u1000\u102d\u102f \u1025\u1015\u1019\u102c\u1015\u1031\u1038\u1011\u102c\u1038\u101e\u100a\u103a\u104b<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u1021\u1006\u1004\u1037\u103a 1: \u1012\u1031\u1010\u102c\u1000\u102d\u102f\u1016\u1014\u103a\u1010\u102e\u1038\u1015\u102b\u104b<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u1024\u1025\u1015\u1019\u102c\u1021\u1010\u103d\u1000\u103a\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1000\u103b\u1031\u102c\u1004\u103a\u1038\u101e\u102c\u1038 50 \u104f\u1021\u1010\u1014\u103a\u1038\u1010\u1005\u103a\u1010\u1014\u103a\u1038\u1021\u1010\u103d\u1000\u103a \u101c\u1031\u1037\u101c\u102c\u1001\u103b\u102d\u1014\u103a\u1014\u102c\u101b\u102e\u1021\u101b\u1031\u1021\u1010\u103d\u1000\u103a\u1014\u103e\u1004\u1037\u103a \u1014\u1031\u102c\u1000\u103a\u1006\u102f\u1036\u1038\u1005\u102c\u1019\u1031\u1038\u1015\u103d\u1032\u1021\u1006\u1004\u1037\u103a\u1015\u102b\u101b\u103e\u102d\u101e\u1031\u102c \u1012\u1031\u1010\u102c\u1021\u1010\u103d\u1032\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u1015\u102b\u1019\u100a\u103a\u104b<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#make this example reproducible<\/span>\nset.seed(1)\n\n<span style=\"color: #008080;\">#create dataset\n<\/span>df &lt;- data.frame(hours = <span style=\"color: #3366ff;\">runif<\/span> (50, 5, 15), score=50)\ndf$score = df$score + df$hours^3\/150 + df$hours* <span style=\"color: #3366ff;\">runif<\/span> (50, 1, 2)\n\n<span style=\"color: #008080;\">#view first six rows of data\n<\/span>head(data)\n\n      hours score\n1 7.655087 64.30191\n2 8.721239 70.65430\n3 10.728534 73.66114\n4 14.082078 86.14630\n5 7.016819 59.81595\n6 13.983897 83.60510\n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\u1021\u1006\u1004\u1037\u103a 2- \u1012\u1031\u1010\u102c\u1000\u102d\u102f \u1019\u103c\u1004\u103a\u101a\u1031\u102c\u1004\u103a\u1000\u103c\u100a\u1037\u103a\u1015\u102b\u104b<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u1012\u1031\u1010\u102c\u1014\u103e\u1004\u1037\u103a \u1006\u102f\u1010\u103a\u101a\u102f\u1010\u103a\u1019\u103e\u102f\u1015\u102f\u1036\u1005\u1036\u1000\u102d\u102f \u1021\u1036\u1019\u1000\u102d\u102f\u1000\u103a\u1019\u102e\u104a \u101c\u1031\u1037\u101c\u102c\u1001\u1032\u1037\u101e\u1031\u102c \u1014\u102c\u101b\u102e\u1014\u103e\u1004\u1037\u103a \u1005\u102c\u1019\u1031\u1038\u1015\u103d\u1032\u101b\u1019\u103e\u1010\u103a\u1021\u1000\u103c\u102c\u1038 \u1006\u1000\u103a\u1005\u1015\u103a\u1019\u103e\u102f\u1000\u102d\u102f \u1019\u103c\u1004\u103a\u101e\u102c\u1005\u1031\u101b\u1014\u103a \u1021\u1015\u102d\u102f\u1004\u103a\u1038\u1021\u1005\u1010\u1005\u103a\u1001\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u1000\u103c\u1015\u102b\u1005\u102d\u102f\u1037\u104b<\/span> <\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #993300;\">library<\/span> (ggplot2)\n\nggplot(df, <span style=\"color: #3366ff;\">aes<\/span> (x=hours, y=score)) +\n  geom_point()<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-12001 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/poly1-1.png\" alt=\"\" width=\"457\" height=\"450\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">\u1012\u1031\u1010\u102c\u101e\u100a\u103a \u1019\u103b\u1009\u103a\u1038\u1000\u103c\u1031\u102c\u1004\u103a\u1038\u1015\u103c\u1014\u103a\u1006\u102f\u1010\u103a\u1001\u103c\u1004\u103a\u1038\u1011\u1000\u103a \u101e\u102c\u101c\u103d\u1014\u103a\u1000\u1031\u102c\u1004\u103a\u1038\u1019\u103d\u1014\u103a\u101e\u1031\u102c \u1000\u102d\u1014\u103a\u1038\u1002\u100f\u1014\u103a\u1038\u1019\u103b\u102c\u1038 \u1006\u102f\u1010\u103a\u101a\u102f\u1010\u103a\u1019\u103e\u102f\u1021\u102c\u1038 \u100a\u103d\u103e\u1014\u103a\u1015\u103c\u101e\u100a\u103a\u1019\u103e\u102c \u1012\u1031\u1010\u102c\u101e\u100a\u103a \u1021\u1014\u100a\u103a\u1038\u1004\u101a\u103a\u101c\u1031\u1038\u1011\u1031\u102c\u1004\u1037\u103a\u1015\u102f\u1036\u1005\u1036 \u1006\u1000\u103a\u1014\u103d\u101a\u103a\u1019\u103e\u102f\u101b\u103e\u102d\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<h3> <strong><span style=\"color: #000000;\">\u1021\u1006\u1004\u1037\u103a 3- polynomial \u1006\u102f\u1010\u103a\u101a\u102f\u1010\u103a\u1019\u103e\u102f\u1015\u102f\u1036\u1005\u1036\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1000\u103d\u1000\u103a\u1010\u102d\u1015\u102b\u104b<\/span><\/strong><\/h3>\n<p> <span style=\"color: #000000;\">\u1011\u102d\u102f\u1037\u1014\u1031\u102c\u1000\u103a\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1012\u102e\u1002\u101b\u102e <em>h<\/em> = 1\u20265 \u1016\u103c\u1004\u1037\u103a \u1019\u1010\u1030\u100a\u102e\u101e\u1031\u102c polynomial regression \u1019\u1031\u102c\u103a\u1012\u101a\u103a\u1004\u102b\u1038\u1001\u102f\u1000\u102d\u102f \u1016\u103c\u100a\u1037\u103a\u101e\u103d\u1004\u103a\u1038\u1015\u103c\u102e\u1038 \u1019\u1031\u102c\u103a\u1012\u101a\u103a\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1021\u1010\u103d\u1000\u103a MSE \u1005\u1019\u103a\u1038\u101e\u1015\u103a\u1019\u103e\u102f\u1000\u102d\u102f \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u101b\u1014\u103a k-fold cross-validation \u1000\u102d\u102f k = 10 \u1000\u103c\u102d\u1019\u103a \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1015\u102b\u1019\u100a\u103a-<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#randomly shuffle data\n<\/span>df.shuffled &lt;- df[ <span style=\"color: #3366ff;\">sample<\/span> ( <span style=\"color: #3366ff;\">nrow<\/span> (df)),]\n\n<span style=\"color: #008080;\">#define number of folds to use for k-fold cross-validation\n<\/span>K &lt;- 10 \n\n<span style=\"color: #008080;\">#define degree of polynomials to fit\n<\/span>degree &lt;- 5\n\n<span style=\"color: #008080;\">#create k equal-sized folds\n<\/span>folds &lt;- cut( <span style=\"color: #3366ff;\">seq<\/span> (1, <span style=\"color: #3366ff;\">nrow<\/span> (df.shuffled)), breaks=K, labels= <span style=\"color: #008000;\">FALSE<\/span> )\n\n<span style=\"color: #008080;\">#create object to hold MSE's of models\n<\/span>mse = matrix(data=NA,nrow=K,ncol=degree)\n\n<span style=\"color: #008080;\">#Perform K-fold cross validation\n<\/span><span style=\"color: #008000;\">for<\/span> (i <span style=\"color: #008000;\">in<\/span> 1:K){\n    \n<span style=\"color: #008080;\">#define training and testing data\n<\/span>testIndexes &lt;- <span style=\"color: #3366ff;\">which<\/span> (folds==i,arr.ind= <span style=\"color: #008000;\">TRUE<\/span> )\n    testData &lt;- df.shuffled[testIndexes, ]\n    trainData &lt;- df.shuffled[-testIndexes, ]\n    \n<span style=\"color: #008080;\">#use k-fold cv to evaluate models\n<\/span>for (j in 1:degree){\n        fit.train = <span style=\"color: #3366ff;\">lm<\/span> (score ~ <span style=\"color: #3366ff;\">poly<\/span> (hours,d), data=trainData)\n        fit.test = <span style=\"color: #3366ff;\">predict<\/span> (fit.train, newdata=testData)\n        mse[i,j] = <span style=\"color: #3366ff;\">mean<\/span> ((fit.test-testData$score)^2) \n    }\n}\n\n<span style=\"color: #008080;\">#find MSE for each degree \n<\/span>colMeans(mse)\n\n[1] 9.802397 8.748666 9.601865 10.592569 13.545547\n<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">\u101b\u101c\u1012\u103a\u1019\u103e \u1019\u1031\u102c\u103a\u1012\u101a\u103a\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1021\u1010\u103d\u1000\u103a MSE \u1005\u1019\u103a\u1038\u101e\u1015\u103a\u1019\u103e\u102f\u1000\u102d\u102f \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037 \u1019\u103c\u1004\u103a\u1010\u103d\u1031\u1037\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a-<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\u1012\u102e\u1002\u101b\u102e h = 1: <strong>9.80<\/strong> \u1016\u103c\u1004\u1037\u103a MSE \u1005\u102c\u1019\u1031\u1038\u1015\u103d\u1032<\/span><\/li>\n<li> <span style=\"color: #000000;\">\u1012\u102e\u1002\u101b\u102e h = 2: <strong>8.75<\/strong> \u1016\u103c\u1004\u1037\u103a MSE \u1005\u102c\u1019\u1031\u1038\u1015\u103d\u1032<\/span><\/li>\n<li> <span style=\"color: #000000;\">\u1012\u102e\u1002\u101b\u102e h = 3: <strong>9.60<\/strong> \u1016\u103c\u1004\u1037\u103a MSE \u1005\u102c\u1019\u1031\u1038\u1015\u103d\u1032<\/span><\/li>\n<li> <span style=\"color: #000000;\">\u1012\u102e\u1002\u101b\u102e h = 4: <strong>10.59<\/strong> \u1016\u103c\u1004\u1037\u103a MSE \u1005\u102c\u1019\u1031\u1038\u1015\u103d\u1032<\/span><\/li>\n<li> <span style=\"color: #000000;\">\u1012\u102e\u1002\u101b\u102e h = 5: <strong>13.55<\/strong> \u1016\u103c\u1004\u1037\u103a MSE \u1005\u102c\u1019\u1031\u1038\u1015\u103d\u1032<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\u1021\u1014\u102d\u1019\u1037\u103a\u1006\u102f\u1036\u1038\u1005\u1019\u103a\u1038\u101e\u1015\u103a\u1019\u103e\u102f MSE \u1019\u1031\u102c\u103a\u1012\u101a\u103a\u101e\u100a\u103a \u1012\u102e\u1002\u101b\u102e <em>h<\/em> = 2 \u101b\u103e\u102d\u101e\u1031\u102c polynomial regression \u1019\u1031\u102c\u103a\u1012\u101a\u103a\u1016\u103c\u1005\u103a\u101c\u102c\u101e\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u104e\u1004\u103a\u1038\u101e\u100a\u103a \u1019\u1030\u101b\u1004\u103a\u1038 scatterplot \u1019\u103e \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u104f \u1015\u1004\u103a\u1000\u102d\u102f\u101a\u103a\u101e\u1018\u1031\u102c\u1014\u103e\u1004\u1037\u103a \u1000\u102d\u102f\u1000\u103a\u100a\u102e\u101e\u100a\u103a- \u101c\u1031\u1038\u1015\u102f\u1036\u1010\u1005\u103a\u1015\u102f\u1036 \u1006\u102f\u1010\u103a\u101a\u102f\u1010\u103a\u1019\u103e\u102f\u1015\u102f\u1036\u1005\u1036\u101e\u100a\u103a \u1012\u1031\u1010\u102c\u1014\u103e\u1004\u1037\u103a \u1021\u101e\u1004\u1037\u103a\u1010\u1031\u102c\u103a\u1006\u102f\u1036\u1038\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n<h3> <strong><span style=\"color: #000000;\">\u1021\u1006\u1004\u1037\u103a 4- \u1014\u1031\u102c\u1000\u103a\u1006\u102f\u1036\u1038\u1015\u102f\u1036\u1005\u1036\u1000\u102d\u102f \u1015\u102d\u102f\u1004\u103a\u1038\u1001\u103c\u102c\u1038\u1005\u102d\u1010\u103a\u1016\u103c\u102c\u1015\u102b\u104b<\/span><\/strong><\/h3>\n<p> <span style=\"color: #000000;\">\u1014\u1031\u102c\u1000\u103a\u1006\u102f\u1036\u1038\u1010\u103d\u1004\u103a\u104a \u1021\u1000\u1031\u102c\u1004\u103a\u1038\u1006\u102f\u1036\u1038\u1005\u103d\u1019\u103a\u1038\u1006\u1031\u102c\u1004\u103a\u101b\u100a\u103a\u1019\u1031\u102c\u103a\u1012\u101a\u103a\u104f \u1000\u102d\u1014\u103a\u1038\u1002\u100f\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101b\u101b\u103e\u102d\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a-<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#fit best model<\/span>\nbest = <span style=\"color: #3366ff;\">lm<\/span> (score ~ <span style=\"color: #3366ff;\">poly<\/span> (hours,2, raw= <span style=\"color: #008000;\">T<\/span> ), data=df)\n\n<span style=\"color: #008080;\">#view summary of best model<\/span>\nsummary(best)\n\nCall:\nlm(formula = score ~ poly(hours, 2, raw = T), data = df)\n\nResiduals:\n    Min 1Q Median 3Q Max \n-5.6589 -2.0770 -0.4599 2.5923 4.5122 \n\nCoefficients:\n                         Estimate Std. Error t value Pr(&gt;|t|)    \n(Intercept) 54.00526 5.52855 9.768 6.78e-13 ***\npoly(hours, 2, raw = T)1 -0.07904 1.15413 -0.068 0.94569    \npoly(hours, 2, raw = T)2 0.18596 0.05724 3.249 0.00214 ** \n---\nSignificant. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u101b\u101c\u1012\u103a\u1021\u1014\u1031\u1016\u103c\u1004\u1037\u103a\u104a \u1014\u1031\u102c\u1000\u103a\u1006\u102f\u1036\u1038\u1010\u1015\u103a\u1006\u1004\u103a\u1011\u102c\u1038\u101e\u1031\u102c\u1015\u102f\u1036\u1005\u1036\u1000\u102d\u102f \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-<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u101b\u1019\u103e\u1010\u103a = 54.00526 \u2013 0.07904*(\u1014\u102c\u101b\u102e) + 0.18596*(\u1014\u102c\u101b\u102e) <sup>2<\/sup><\/span><\/p>\n<p> <span style=\"color: #000000;\">\u101e\u1004\u103a\u1000\u103c\u102c\u1038\u101e\u100a\u1037\u103a\u1014\u102c\u101b\u102e\u1021\u101b\u1031\u1021\u1010\u103d\u1000\u103a\u1015\u1031\u102b\u103a\u1019\u1030\u1010\u100a\u103a\u104d \u1000\u103b\u1031\u102c\u1004\u103a\u1038\u101e\u102c\u1038\u1010\u1005\u103a\u1026\u1038\u101b\u101b\u103e\u102d\u1019\u100a\u1037\u103a\u101b\u1019\u103e\u1010\u103a\u1000\u102d\u102f \u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u101b\u1014\u103a \u1024\u100a\u102e\u1019\u103b\u103e\u1001\u103c\u1004\u103a\u1038\u1021\u102c\u1038 \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\u1015\u102b\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 10 \u1014\u102c\u101b\u102e \u1005\u102c\u101e\u1004\u103a\u101e\u1031\u102c \u1000\u103b\u1031\u102c\u1004\u103a\u1038\u101e\u102c\u1038\u101e\u100a\u103a <strong>71.81<\/strong> \u1021\u1006\u1004\u1037\u103a \u101b\u101e\u1004\u1037\u103a\u101e\u100a\u103a \u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u101b\u1019\u103e\u1010\u103a = 54.00526 \u2013 0.07904*(10) + 0.18596*(10) <sup>2<\/sup> = 71.81<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u1012\u1031\u1010\u102c\u1021\u1000\u103c\u1019\u103a\u1038 \u1019\u100a\u103a\u1019\u103b\u103e \u1000\u102d\u102f\u1000\u103a\u100a\u102e\u1019\u103e\u102f\u101b\u103e\u102d\u101e\u100a\u103a\u1000\u102d\u102f \u1000\u103c\u100a\u1037\u103a\u101b\u1014\u103a \u1010\u1015\u103a\u1006\u1004\u103a\u1011\u102c\u1038\u101e\u1031\u102c \u1019\u1031\u102c\u103a\u1012\u101a\u103a\u1000\u102d\u102f\u101c\u100a\u103a\u1038 \u101b\u1031\u1038\u1006\u103d\u1032\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a-<\/span> <\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong>ggplot(df, <span style=\"color: #3366ff;\">aes<\/span> (x=hours, y=score)) + \n          geom_point() +\n          stat_smooth(method=' <span style=\"color: #008000;\">lm<\/span> ', formula = y ~ <span style=\"color: #3366ff;\">poly<\/span> (x,2), size = 1) + \n          xlab(' <span style=\"color: #008000;\">Hours Studied<\/span> ') +\n          ylab(' <span style=\"color: #008000;\">Score<\/span> ')<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-12002 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/poly2.png\" alt=\"R \u1010\u103d\u1004\u103a Polynomial \u1006\u102f\u1010\u103a\u101a\u102f\u1010\u103a\u1019\u103e\u102f\" width=\"446\" height=\"449\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">\u1024\u1025\u1015\u1019\u102c\u1010\u103d\u1004\u103a\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1011\u102c\u1038\u101e\u1031\u102c R \u1000\u102f\u1012\u103a\u1021\u1015\u103c\u100a\u1037\u103a\u1021\u1005\u102f\u1036\u1000\u102d\u102f <a href=\"https:\/\/github.com\/Statorials\/R-Guides\/blob\/main\/polynomial_regression.R\" target=\"_blank\" rel=\"noopener noreferrer\">\u1024\u1014\u1031\u101b\u102c\u1010\u103d\u1004\u103a<\/a> \u101b\u103e\u102c\u1010\u103d\u1031\u1037\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Polynomial regression \u101e\u100a\u103a \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\u1004\u1037\u103a \u1010\u102f\u1036\u1037\u1015\u103c\u1014\u103a\u1019\u103e\u102f\u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a \u101e\u100a\u103a linear \u1019\u101f\u102f\u1010\u103a\u101e\u100a\u1037\u103a\u1021\u1001\u102b \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\u1037\u103a \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1010\u1005\u103a\u1001\u102f\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b \u1024\u1006\u102f\u1010\u103a\u101a\u102f\u1010\u103a\u1019\u103e\u102f\u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u101e\u100a\u103a \u1015\u102f\u1036\u1005\u1036\u101a\u1030\u101e\u100a\u103a- Y = \u03b2 0 + \u03b2 1 X + \u03b2 2 X 2 + \u2026 + \u03b2 h h \u101e\u100a\u103a polynomial \u104f &#8220; \u1012\u102e\u1002\u101b\u102e&#8221; \u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b \u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u101e\u100a\u103a R \u1010\u103d\u1004\u103a polynomial regression \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1015\u102f\u1036\u1021\u1006\u1004\u1037\u103a\u1006\u1004\u1037\u103a\u1000\u102d\u102f \u1025\u1015\u1019\u102c\u1015\u1031\u1038\u1011\u102c\u1038\u101e\u100a\u103a\u104b \u1021\u1006\u1004\u1037\u103a 1: \u1012\u1031\u1010\u102c\u1000\u102d\u102f\u1016\u1014\u103a\u1010\u102e\u1038\u1015\u102b\u104b \u1024\u1025\u1015\u1019\u102c\u1021\u1010\u103d\u1000\u103a\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1000\u103b\u1031\u102c\u1004\u103a\u1038\u101e\u102c\u1038 50 \u104f\u1021\u1010\u1014\u103a\u1038\u1010\u1005\u103a\u1010\u1014\u103a\u1038\u1021\u1010\u103d\u1000\u103a \u101c\u1031\u1037\u101c\u102c\u1001\u103b\u102d\u1014\u103a\u1014\u102c\u101b\u102e\u1021\u101b\u1031\u1021\u1010\u103d\u1000\u103a\u1014\u103e\u1004\u1037\u103a \u1014\u1031\u102c\u1000\u103a\u1006\u102f\u1036\u1038\u1005\u102c\u1019\u1031\u1038\u1015\u103d\u1032\u1021\u1006\u1004\u1037\u103a\u1015\u102b\u101b\u103e\u102d\u101e\u1031\u102c \u1012\u1031\u1010\u102c\u1021\u1010\u103d\u1032\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f [&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>R \u1010\u103d\u1004\u103a Polynomial regression (\u1010\u1005\u103a\u1006\u1004\u1037\u103a\u1015\u103c\u102e\u1038\u1010\u1005\u103a\u1006\u1004\u1037\u103a) - Statology<\/title>\n<meta name=\"description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u101e\u100a\u103a \u1025\u1015\u1019\u102c\u1010\u1005\u103a\u1001\u102f\u1021\u1015\u102b\u1021\u101d\u1004\u103a R \u1010\u103d\u1004\u103a polynomial regression \u1000\u102d\u102f \u1014\u102c\u1038\u101c\u100a\u103a\u1015\u103c\u102e\u1038 \u1021\u1000\u1031\u102c\u1004\u103a\u1021\u1011\u100a\u103a\u1016\u1031\u102c\u103a\u101b\u1014\u103a \u101b\u102d\u102f\u1038\u101b\u103e\u1004\u103a\u1038\u101e\u1031\u102c\u101c\u1019\u103a\u1038\u100a\u103d\u103e\u1014\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\/polynomial-regression-r\/\" \/>\n<meta property=\"og:locale\" content=\"my_MM\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"R \u1010\u103d\u1004\u103a Polynomial regression (\u1010\u1005\u103a\u1006\u1004\u1037\u103a\u1015\u103c\u102e\u1038\u1010\u1005\u103a\u1006\u1004\u1037\u103a) - Statology\" \/>\n<meta property=\"og:description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u101e\u100a\u103a \u1025\u1015\u1019\u102c\u1010\u1005\u103a\u1001\u102f\u1021\u1015\u102b\u1021\u101d\u1004\u103a R \u1010\u103d\u1004\u103a polynomial regression \u1000\u102d\u102f \u1014\u102c\u1038\u101c\u100a\u103a\u1015\u103c\u102e\u1038 \u1021\u1000\u1031\u102c\u1004\u103a\u1021\u1011\u100a\u103a\u1016\u1031\u102c\u103a\u101b\u1014\u103a \u101b\u102d\u102f\u1038\u101b\u103e\u1004\u103a\u1038\u101e\u1031\u102c\u101c\u1019\u103a\u1038\u100a\u103d\u103e\u1014\u103a\u1000\u102d\u102f \u1015\u1031\u1038\u1015\u102b\u101e\u100a\u103a\u104b\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/my\/polynomial-regression-r\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-29T19:05:27+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/poly1-1.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\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/my\/polynomial-regression-r\/\",\"url\":\"https:\/\/statorials.org\/my\/polynomial-regression-r\/\",\"name\":\"R \u1010\u103d\u1004\u103a Polynomial regression (\u1010\u1005\u103a\u1006\u1004\u1037\u103a\u1015\u103c\u102e\u1038\u1010\u1005\u103a\u1006\u1004\u1037\u103a) - Statology\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/my\/#website\"},\"datePublished\":\"2023-07-29T19:05:27+00:00\",\"dateModified\":\"2023-07-29T19:05:27+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/my\/#\/schema\/person\/e47470981684a202f7ed4c0cb1e10097\"},\"description\":\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u101e\u100a\u103a \u1025\u1015\u1019\u102c\u1010\u1005\u103a\u1001\u102f\u1021\u1015\u102b\u1021\u101d\u1004\u103a R \u1010\u103d\u1004\u103a polynomial regression \u1000\u102d\u102f \u1014\u102c\u1038\u101c\u100a\u103a\u1015\u103c\u102e\u1038 \u1021\u1000\u1031\u102c\u1004\u103a\u1021\u1011\u100a\u103a\u1016\u1031\u102c\u103a\u101b\u1014\u103a \u101b\u102d\u102f\u1038\u101b\u103e\u1004\u103a\u1038\u101e\u1031\u102c\u101c\u1019\u103a\u1038\u100a\u103d\u103e\u1014\u103a\u1000\u102d\u102f \u1015\u1031\u1038\u1015\u102b\u101e\u100a\u103a\u104b\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/my\/polynomial-regression-r\/#breadcrumb\"},\"inLanguage\":\"my-MM\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/my\/polynomial-regression-r\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/my\/polynomial-regression-r\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"\u1021\u102d\u1019\u103a\",\"item\":\"https:\/\/statorials.org\/my\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"R \u1010\u103d\u1004\u103a polynomial regression (\u1010\u1005\u103a\u1006\u1004\u1037\u103a\u1015\u103c\u102e\u1038\u1010\u1005\u103a\u1006\u1004\u1037\u103a)\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/my\/#website\",\"url\":\"https:\/\/statorials.org\/my\/\",\"name\":\"Statorials\",\"description\":\"\u1005\u102c\u101b\u1004\u103a\u1038\u1021\u1004\u103a\u1038\u1006\u102d\u102f\u1004\u103a\u101b\u102c \u1021\u101b\u100a\u103a\u1021\u1001\u103b\u1004\u103a\u1038\u1021\u1010\u103d\u1000\u103a \u101e\u1004\u1037\u103a\u101c\u1019\u103a\u1038\u100a\u103d\u103e\u1014\u103a\u1001\u103b\u1000\u103a\u104b\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/my\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"my-MM\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/my\/#\/schema\/person\/e47470981684a202f7ed4c0cb1e10097\",\"name\":\"Benjamin Anderson\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"my-MM\",\"@id\":\"https:\/\/statorials.org\/my\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/statorials.org\/my\/wp-content\/uploads\/2023\/11\/Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"https:\/\/statorials.org\/my\/wp-content\/uploads\/2023\/11\/Benjamin-Anderson-96x96.jpg\",\"caption\":\"Benjamin Anderson\"},\"description\":\"\u1019\u1004\u103a\u1039\u1002\u101c\u102c\u1015\u102b\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u101e\u100a\u103a \u1021\u1004\u103c\u102d\u1019\u103a\u1038\u1005\u102c\u1038 \u1005\u102c\u101b\u1004\u103a\u1038\u1021\u1004\u103a\u1038 \u1015\u102b\u1019\u1031\u102c\u1000\u1039\u1001 \u1018\u1004\u103a\u1002\u103b\u1019\u1004\u103a\u1016\u103c\u1005\u103a\u1015\u103c\u102e\u1038 \u101e\u102e\u1038\u101e\u1014\u1037\u103a Statorials \u1006\u101b\u102c\u1021\u1016\u103c\u1005\u103a \u101c\u103e\u100a\u1037\u103a\u1015\u1010\u103a\u1015\u102b\u101e\u100a\u103a\u104b \u1005\u102c\u101b\u1004\u103a\u1038\u1007\u101a\u102c\u1038\u1014\u101a\u103a\u1015\u101a\u103a\u1010\u103d\u1004\u103a \u1000\u103b\u101a\u103a\u1015\u103c\u1014\u1037\u103a\u101e\u1031\u102c\u1021\u1010\u103d\u1031\u1037\u1021\u1000\u103c\u102f\u1036\u1014\u103e\u1004\u1037\u103a \u1000\u103b\u103d\u1019\u103a\u1038\u1000\u103b\u1004\u103a\u1019\u103e\u102f\u1014\u103e\u1004\u1037\u103a\u1021\u1010\u1030\u104a Statorials \u1019\u103e\u1010\u1005\u103a\u1006\u1004\u1037\u103a \u1000\u103b\u1031\u102c\u1004\u103a\u1038\u101e\u102c\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1001\u103d\u1014\u103a\u1021\u102c\u1038\u1016\u103c\u1005\u103a\u1005\u1031\u101b\u1014\u103a\u1021\u1010\u103d\u1000\u103a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u104f\u1021\u101e\u102d\u1015\u100a\u102c\u1000\u102d\u102f \u1019\u103b\u103e\u101d\u1031\u101c\u102d\u102f\u1015\u102b\u101e\u100a\u103a\u104b \u1015\u102d\u102f\u101e\u102d\u1010\u101a\u103a\u104b\",\"sameAs\":[\"https:\/\/statorials.org\/my\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"R \u1010\u103d\u1004\u103a Polynomial regression (\u1010\u1005\u103a\u1006\u1004\u1037\u103a\u1015\u103c\u102e\u1038\u1010\u1005\u103a\u1006\u1004\u1037\u103a) - Statology","description":"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u101e\u100a\u103a \u1025\u1015\u1019\u102c\u1010\u1005\u103a\u1001\u102f\u1021\u1015\u102b\u1021\u101d\u1004\u103a R \u1010\u103d\u1004\u103a polynomial regression \u1000\u102d\u102f \u1014\u102c\u1038\u101c\u100a\u103a\u1015\u103c\u102e\u1038 \u1021\u1000\u1031\u102c\u1004\u103a\u1021\u1011\u100a\u103a\u1016\u1031\u102c\u103a\u101b\u1014\u103a \u101b\u102d\u102f\u1038\u101b\u103e\u1004\u103a\u1038\u101e\u1031\u102c\u101c\u1019\u103a\u1038\u100a\u103d\u103e\u1014\u103a\u1000\u102d\u102f \u1015\u1031\u1038\u1015\u102b\u101e\u100a\u103a\u104b","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/statorials.org\/my\/polynomial-regression-r\/","og_locale":"my_MM","og_type":"article","og_title":"R \u1010\u103d\u1004\u103a Polynomial regression (\u1010\u1005\u103a\u1006\u1004\u1037\u103a\u1015\u103c\u102e\u1038\u1010\u1005\u103a\u1006\u1004\u1037\u103a) - Statology","og_description":"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u101e\u100a\u103a \u1025\u1015\u1019\u102c\u1010\u1005\u103a\u1001\u102f\u1021\u1015\u102b\u1021\u101d\u1004\u103a R \u1010\u103d\u1004\u103a polynomial regression \u1000\u102d\u102f \u1014\u102c\u1038\u101c\u100a\u103a\u1015\u103c\u102e\u1038 \u1021\u1000\u1031\u102c\u1004\u103a\u1021\u1011\u100a\u103a\u1016\u1031\u102c\u103a\u101b\u1014\u103a \u101b\u102d\u102f\u1038\u101b\u103e\u1004\u103a\u1038\u101e\u1031\u102c\u101c\u1019\u103a\u1038\u100a\u103d\u103e\u1014\u103a\u1000\u102d\u102f \u1015\u1031\u1038\u1015\u102b\u101e\u100a\u103a\u104b","og_url":"https:\/\/statorials.org\/my\/polynomial-regression-r\/","og_site_name":"Statorials","article_published_time":"2023-07-29T19:05:27+00:00","og_image":[{"url":"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/poly1-1.png"}],"author":"Benjamin Anderson","twitter_card":"summary_large_image","twitter_misc":{"Written by":"Benjamin Anderson","Est. reading time":"2 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/statorials.org\/my\/polynomial-regression-r\/","url":"https:\/\/statorials.org\/my\/polynomial-regression-r\/","name":"R \u1010\u103d\u1004\u103a Polynomial regression (\u1010\u1005\u103a\u1006\u1004\u1037\u103a\u1015\u103c\u102e\u1038\u1010\u1005\u103a\u1006\u1004\u1037\u103a) - Statology","isPartOf":{"@id":"https:\/\/statorials.org\/my\/#website"},"datePublished":"2023-07-29T19:05:27+00:00","dateModified":"2023-07-29T19:05:27+00:00","author":{"@id":"https:\/\/statorials.org\/my\/#\/schema\/person\/e47470981684a202f7ed4c0cb1e10097"},"description":"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u101e\u100a\u103a \u1025\u1015\u1019\u102c\u1010\u1005\u103a\u1001\u102f\u1021\u1015\u102b\u1021\u101d\u1004\u103a R \u1010\u103d\u1004\u103a polynomial regression \u1000\u102d\u102f \u1014\u102c\u1038\u101c\u100a\u103a\u1015\u103c\u102e\u1038 \u1021\u1000\u1031\u102c\u1004\u103a\u1021\u1011\u100a\u103a\u1016\u1031\u102c\u103a\u101b\u1014\u103a \u101b\u102d\u102f\u1038\u101b\u103e\u1004\u103a\u1038\u101e\u1031\u102c\u101c\u1019\u103a\u1038\u100a\u103d\u103e\u1014\u103a\u1000\u102d\u102f \u1015\u1031\u1038\u1015\u102b\u101e\u100a\u103a\u104b","breadcrumb":{"@id":"https:\/\/statorials.org\/my\/polynomial-regression-r\/#breadcrumb"},"inLanguage":"my-MM","potentialAction":[{"@type":"ReadAction","target":["https:\/\/statorials.org\/my\/polynomial-regression-r\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/statorials.org\/my\/polynomial-regression-r\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"\u1021\u102d\u1019\u103a","item":"https:\/\/statorials.org\/my\/"},{"@type":"ListItem","position":2,"name":"R \u1010\u103d\u1004\u103a polynomial regression (\u1010\u1005\u103a\u1006\u1004\u1037\u103a\u1015\u103c\u102e\u1038\u1010\u1005\u103a\u1006\u1004\u1037\u103a)"}]},{"@type":"WebSite","@id":"https:\/\/statorials.org\/my\/#website","url":"https:\/\/statorials.org\/my\/","name":"Statorials","description":"\u1005\u102c\u101b\u1004\u103a\u1038\u1021\u1004\u103a\u1038\u1006\u102d\u102f\u1004\u103a\u101b\u102c \u1021\u101b\u100a\u103a\u1021\u1001\u103b\u1004\u103a\u1038\u1021\u1010\u103d\u1000\u103a \u101e\u1004\u1037\u103a\u101c\u1019\u103a\u1038\u100a\u103d\u103e\u1014\u103a\u1001\u103b\u1000\u103a\u104b","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/statorials.org\/my\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"my-MM"},{"@type":"Person","@id":"https:\/\/statorials.org\/my\/#\/schema\/person\/e47470981684a202f7ed4c0cb1e10097","name":"Benjamin Anderson","image":{"@type":"ImageObject","inLanguage":"my-MM","@id":"https:\/\/statorials.org\/my\/#\/schema\/person\/image\/","url":"https:\/\/statorials.org\/my\/wp-content\/uploads\/2023\/11\/Benjamin-Anderson-96x96.jpg","contentUrl":"https:\/\/statorials.org\/my\/wp-content\/uploads\/2023\/11\/Benjamin-Anderson-96x96.jpg","caption":"Benjamin Anderson"},"description":"\u1019\u1004\u103a\u1039\u1002\u101c\u102c\u1015\u102b\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u101e\u100a\u103a \u1021\u1004\u103c\u102d\u1019\u103a\u1038\u1005\u102c\u1038 \u1005\u102c\u101b\u1004\u103a\u1038\u1021\u1004\u103a\u1038 \u1015\u102b\u1019\u1031\u102c\u1000\u1039\u1001 \u1018\u1004\u103a\u1002\u103b\u1019\u1004\u103a\u1016\u103c\u1005\u103a\u1015\u103c\u102e\u1038 \u101e\u102e\u1038\u101e\u1014\u1037\u103a Statorials \u1006\u101b\u102c\u1021\u1016\u103c\u1005\u103a \u101c\u103e\u100a\u1037\u103a\u1015\u1010\u103a\u1015\u102b\u101e\u100a\u103a\u104b \u1005\u102c\u101b\u1004\u103a\u1038\u1007\u101a\u102c\u1038\u1014\u101a\u103a\u1015\u101a\u103a\u1010\u103d\u1004\u103a \u1000\u103b\u101a\u103a\u1015\u103c\u1014\u1037\u103a\u101e\u1031\u102c\u1021\u1010\u103d\u1031\u1037\u1021\u1000\u103c\u102f\u1036\u1014\u103e\u1004\u1037\u103a \u1000\u103b\u103d\u1019\u103a\u1038\u1000\u103b\u1004\u103a\u1019\u103e\u102f\u1014\u103e\u1004\u1037\u103a\u1021\u1010\u1030\u104a Statorials \u1019\u103e\u1010\u1005\u103a\u1006\u1004\u1037\u103a \u1000\u103b\u1031\u102c\u1004\u103a\u1038\u101e\u102c\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1001\u103d\u1014\u103a\u1021\u102c\u1038\u1016\u103c\u1005\u103a\u1005\u1031\u101b\u1014\u103a\u1021\u1010\u103d\u1000\u103a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u104f\u1021\u101e\u102d\u1015\u100a\u102c\u1000\u102d\u102f \u1019\u103b\u103e\u101d\u1031\u101c\u102d\u102f\u1015\u102b\u101e\u100a\u103a\u104b \u1015\u102d\u102f\u101e\u102d\u1010\u101a\u103a\u104b","sameAs":["https:\/\/statorials.org\/my"]}]}},"yoast_meta":{"yoast_wpseo_title":"","yoast_wpseo_metadesc":"","yoast_wpseo_canonical":""},"_links":{"self":[{"href":"https:\/\/statorials.org\/my\/wp-json\/wp\/v2\/posts\/475"}],"collection":[{"href":"https:\/\/statorials.org\/my\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/statorials.org\/my\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/statorials.org\/my\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/statorials.org\/my\/wp-json\/wp\/v2\/comments?post=475"}],"version-history":[{"count":0,"href":"https:\/\/statorials.org\/my\/wp-json\/wp\/v2\/posts\/475\/revisions"}],"wp:attachment":[{"href":"https:\/\/statorials.org\/my\/wp-json\/wp\/v2\/media?parent=475"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/statorials.org\/my\/wp-json\/wp\/v2\/categories?post=475"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/statorials.org\/my\/wp-json\/wp\/v2\/tags?post=475"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}