Need assistance in interpreting the regression analysis to answer the question in the attached document.
a. Analyze the Minitab output to determine the multiple regression equation.
b. What conclusions are possible using the result of the global usefulness test (F test)?
c. What conclusions are possible using the results of the t-tests for the regression coefficients (β1, β2) of the independent variables (alpha = 0.05). Does this data provide significant evidence (alpha = 0.05) that the swim suit sales is associated with temperature and/or month. Find the p-values and interpret.
d. Find the point estimate and the 95% Prediction Interval for swim suit sales, when the temperature is 80 and the month is 7.
e. Find and interpret the multiple index of determination.
The solution gives detailed steps on a complete Multiple Regression Analysis based on a Minitab output. T-tests and the global usefulness tests are applied.