interpreting visual dis

George has a dataset of eight data points with a single predictor variable. When he attempts linear regression MSE for his training error is 224.2; When George attempts cubic regression MSE for his training error is 67.5. On the other hand his ten-fold crossvalidation error for cubic regression is 323.6 and his cross validation error for linear regression is 293.3; What explains these results; which is the best model to use for this dataset

Question 4 interpreting visual dis George has a dataset of eight data points with a single predictor variable. When he attempts linear regression MSE for his training error is 224.2: When George attempts cubic fold crossvalidation error for cubic regression is 323.6 and his cross validation error for linear regression is 293.3: What explains these results; which is the best model to use For the toolbar, press ALT+F10 (PC) or ALT+FN+F10 (Mac). B 1 Paragraph Arial 14px T > Ils + ABC 1 12 e FA -- . EXE +H HE > )