Maurice Tutor

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Algebra,Applied Sciences,Biology,Calculus,Chemistry,Economics,English,Essay writing,Geography,Geology,Health & Medical,Physics,Science Hide all
Teaching Since: May 2017
Last Sign in: 401 Weeks Ago, 4 Days Ago
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  • MCS,PHD
    Argosy University/ Phoniex University/
    Nov-2005 - Oct-2011

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  • Professor
    Phoniex University
    Oct-2001 - Nov-2016

Category > Management Posted 08 Jul 2017 My Price 11.00

Buena School District bus data

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.

Answers

(5)
Status NEW Posted 08 Jul 2017 10:07 AM My Price 11.00

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