fedu/courses/28281/quizzes/99067/take Check the correlation efficients to make s

Question

fedu/courses/28281/quizzes/99067/take Check the correlation efficients to make sure they are less than .3 across the X variables Question 11 50 In general, why do we need to test the regression for curvilinearity? We need to check to make sure that there is not mismeasured X variables We need to check to make sure there is not inflated standard errors (high VIF) We need to make sure the variances of the subpopulations of Y are all equal O We need to check to make sure that we put a curve in the regression line to fit the data, if needed. D Question 12 50 p What problem does heteroscedasticity cause? It is caused by errors in variables, mismeasured data causing biased beta. There is unequal error variances and unequal dispersion of residuals around the regression line. It shows that the regression line does not go right through the middle of the data and the betas are biased The VIF is very high and the beta coefficients have inflated standard errors. Question 13 50 pt

Explanation / Answer

So in regression we use curvilinear case when we doubt the data or after fitting linear regression we get lesser value of coefficient of determination in both case we use nonlinear regression.

Hence option 4 is correct.

Question 12

In presense of heteroscductic data we may can assume that the data is not same variability for all values of Y.

Hence option B is correct

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