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R2 measures the percentage of sample variations of the response variable explained by the model. Which of the following are true when comparing linear and log-transformed regression models?Select all that apply Multiple select question.Using R2 we can compare the percentage of explained variations of y with that of ln(y).We need to compute the percentage of explained variations of yWe cannot compare the percentage of explained variations of y with that of ln(y).The normal R2will help to explain the percentage variation of y
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- Instead of se2,we generally report the standard deviation of the residual, denoted se, more commonly referred to asThe descriptive statisticGoodness-of-fitThe standard error of the estimateThe standard deviation of the sample