Concept explainers
a.
Make the correlation matrix.
Find the independent variables those have strong or weak
Explain whether there are any problems with multicollinearity.
b.
Find the regression equation and explain the procedure of the selection of the variables to include in the equation.
Explain the correlation analysis.
Prove that the regression equation shows a significant relationship.
Give the regression equation and interpret the practical interpretation of it.
Find and interpret
c.
Draw a histogram or a stem-and-leaf display of the residuals from the final regression equation developed in Part (b).
Explain whether it is reasonable to conclude that the normality assumption has been met.
d.
Plot the residuals against the fitted value.
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