Which of the following is true regarding a regression model with multicollinearity, a high r2 value, and a low F-test significance level?
a. The model is not a good prediction model.
b. The high value of r2 is due to the multicollinearity.
c. The interpretation of the coefficients is valuable.
d. The significance level tests for the coefficients are not valid.
e. The significance level for the F-test is not valid

Arecent study focused on the number of times men and women who live alone buy take-out dinner in a month. assume that the distributions follow the normal probability distribution and the population standard deviations are equal. the information is summarized below. statistic men women sample mean 24.85 21.33 sample standard deviation 5.54 4.93 sample size 34 36 at the 0.01 significance level, is there a difference in the mean number of times men and women order take-out dinners in a month? state the decision rule for 0.01 significance level: h0: μmen= μwomen h1: μmen ≠ μwomen. (negative amounts should be indicated by a minus sign. round your answers to 3 decimal places.) compute the value of the test statistic. (round your answer to 3 decimal places.) what is your decision regarding the null hypothesis? what is the p-value? (round your answer to 3 decimal places.)