QMB 3200 FALL 2022 Project Submission 3
Complete your work in this document in black type.
Refer to the video in Course Kaltura if you have any questions regarding how to correctly complete this assignment.
Delete one of your vehicle models from your data set, preferably the vehicle that was in the middle when you ranked your vehicle models by price in Project Submission 2. Recode the levels of Model Vehicle as 0 for one model and 1 for the other. We will no longer be using the variable “Year Manufactured” so you can delete that if you want. Add the quadratic term and the interaction terms. You will then start with the complete 2nd-Order Model and “build down” through the entire model-testing process, until you have obtained the best-fitting model. Use this to respond to the following items. Refer to the video in Course Kaltura if you have any questions about what to do to your data set before you can begin your work.
Complete 2nd-Order Model: E(Y) = β0 +β1×1 + β2×12 +β3×2 +β4x1x2 + β5x12x2
Part 1: Model Building
A.1. Global F Test: run a test of the complete 2nd order model. Insert the STATISTIX Printout of the results of this test. (3 points)
A.2 Fill in the following information for your Global F test (1 point per response/ total 5 points)
Test: H0: Ha:
Test Statistic: P-value:
Conclusion:
1. Quadratics test: run a quadratics test. Insert the STATISTIX Printout of the results of this test. (3 points).
B.2. Fill in the following information for your quadratics test (1 point per response/ total 7 points)
Full Model:
Reduced Model:
Test: H0: Ha:
Test Statistic: P-value:
Conclusion:
C.1. Interactions Test: run an interactions test. Insert the STATISTIX Printout of the results of this test. (3 points)
C.2.Fill in the following information for your interactions test (1 point per response/total 7 points)
Full Model:
Reduced Model:
Test: H0: Ha:
Test Statistic: ________________ P-value: ______________
Conclusion:
Would your model building be finished after the interaction test you ran in Part C.1.? Why or why not? (2 points)
Part 2: Final Model Interpretations
Identify the least squares prediction equation for your final model after all the testing was completed. You do not need to include the Printouts of any additional tests conducted, just the results of the best test. Use the values from the Printout and write the prediction equation below (use coefficient values, not betas). (3 points)
ŷ =
Report and interpret the R2 and the 2s associated with your best model. (4 points)
Would you use your model in practice? Why or why not? (3 points)
Part 3: Using the model
Using your best model, predict the price and estimate the mean price for Case # 17 in your data set. Insert the STATISTIX Predicted and Fitted Intervals Printout of the results. (3 points)
Interpret the interval for the predicted value. (1 point)
Interpret the interval for the fitted value. (1 point)
