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| Teaching Since: | May 2017 |
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MCS,PHD
Argosy University/ Phoniex University/
Nov-2005 - Oct-2011
Professor
Phoniex University
Oct-2001 - Nov-2016
35.   Refer to the Buena School District bus data. First, add a variable to change the type of bus (diesel or gasoline) to a qualitative variable. If the bus type is diesel, then set the qual- itative variable to 0. If the bus type is gasoline, then set the qualitative variable to 1. Develop
a regression equation using statistical software with maintenance as the dependent vari- able and age, miles, and bus type as the independent  variables.
a.   Write out the multiple regression equation analysis. Discuss each of the variables.
b.  Determine the value of R2. Interpret.
c.   Develop a correlation matrix. Which independent variables have strong or weak corre- lations with the dependent variable? Do you see any problems with multicollinearity?
d.  Conduct the global test on the set of independent variables. Interpret.
e.   Conduct a test of hypothesis on each of the independent variables. Would you con- sider deleting any of the variables? If so, which ones?
f.  Rerun the analysis until only significant regression coefficients remain in the analysis. Identify these variables.
g.  Develop a histogram or a stem-and-leaf display of the residuals from the final regres- sion equation developed in part (f). Is it reasonable to conclude that the normality assumption has been met?
h.  Plot the residuals against the fitted values from the final regression equation developed in part (f) against the fitted values of Y. Plot the residuals on the vertical axis and the fitted values on the horizontal axis.
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