I аm enrоlled in THE-101 with Christiаn Michele Smith.
Questiоn 2: Multiple Regressiоn Mоdel (11 points) For the multiple regression аnаlysis in this question, use the "trаinData". 2a) (4 points) Perform a multiple linear regression to predict the "Life.expectancy" using the predicting variables "Status", "Total.expenditure", and "Schooling". Call it model1. Display the summary of the model. i) What are the model parameters and their estimates. ii) Interpret the coefficient for the "Schooling" predictor in the context of the problem. State any assumptions while interpreting the coefficient. 2b) (7 points) Create a linear regression model using all the predictors. Call it model2. Display the summary of this model. i) Interpret the coefficient corresponding to Polio in the context of the problem. State any assumptions while interpreting the coefficient. ii) Compare the estimated coefficients and their statistical significance for the predictors "Status", "Total.expenditure", "Schooling" from model 1 and model 2. Do the coefficients have the same sign/direction? Is the statistical significance consistent across the two models? iii) Compare model1 and model2 using a partial F-test using an alpha level of 0.01. - State the null and alternative hypotheses. - State your conclusion based on the test.