Problem #1 :

1. Check for mismeasured X variables. Label this page PAGE 1 Write the question above your answer.
   1. What are you doing in Minitab to check for mismeasured X’s and how are you using the output ..what are you looking at? With a highlighter pen, highlight what you’re looking at.
   2. Using the output shown what did you find, and what did you do in this situation with these data?
2. Check for multicollinearity on a new page labeled PAGE 2. Type each question with your answer.
   1. What are you looking at in the Minitab output, highlight it and how are you evaluating it?
   2. What does multicollinearity do to the regression that is bad?
   3. Put the output you used in this analysis below this on PAGE 2
3. Check for Curvilinearity and find the best model on new page or pages labeled PAGE 3 . Type each question with your answer-delete unnecessary output to save paper (like outliers and ANOVA-but do show regression output).
   1. Briefly, what did you do, what are you looking at in the Minitab output –show relevant output and how are you evaluating it? What were your results in this case? Use a highlighter to highlight your output showing what you’re looking at.
   2. Use ONE of the regression outputs to TEST whether Advertising is curvilinearly related to Students . HIGHLIGHT THIS ANSWER.
      Show the output right next to this test : Ho, Ha, Tc, Ttable , Stat. Conclusion .
   3. Use a highlighter and highlight the BEST Model from your output.
4. Next, check for heteroscedasticity on new page or pages labeled PAGE 5. Type each question with your answer.
   1. What are you looking at in the Minitab output (SHOW all graphs) and how are you evaluating it? What were your results in this case?
   2. Use a highlighter and highlight the BEST model from your output.
   3. Put the output you used in this analysis –delete un-necessary parts of the output to save paper like outlies and anova—but do list all the models you ran and graphs you used.
5. Using the model from Part 4 above, check for normal error terms on new page labeled PAGE 7
   1. Show the graph you are looking at in the Minitab output. How are you evaluating it. What were your results in this case?
6. Why do we have to check these assumptions? What happens if they are not met (in general?)
7. Show the Minitab regression output (highlight it) and interpret the 95% prediction interval for a campus that spends 4,000 dollars on advertising, that is not AOC accredited, located in California and has 10% unionized workforce.

8. Label Page 8. Reprint your BEST MODEL from 1-5 above. Under this : Tell what the CEO could do when locating new campuses in order to maximize enrollments (use each coefficient).

Problem #2:

1. Interpret the coefficients in the regression (and inflection points where applicable). Show your calculations if you use any equation calculations.
2. Predict and interpret this number: grade when the student has 20 minutes to take the exam and it is a Morning class.
3. Test the Coefficient on ClassM (B=0, B not equal 0) and include Ho, Ha, Tc, Ttable, Stat Conclusion

Price: $34.7

Solution: The downloadable solution consists of 12 pages, 2270 words and 2 charts.
Deliverable: Word Document