Explain in one sentence include the corresponding

Info icon This preview shows pages 6–7. Sign up to view the full content.

View Full Document Right Arrow Icon
Explain in one sentence. Include the corresponding test-statistic, degrees of freedom and P-value in your answer. e) Examine the distribution of the residuals and plot the residuals versus each of the explanatory variables. Describe your findings. Does your analysis suggest that the model assumptions may not be reasonable for this problem? Explain. f) Fit a regression model to predict Rent using only Vacancy . Explain why the coefficient for years in rank and the results of a significance test for this coefficient differ from what you found in parts (a) and (d) above. g) Give an approximate 95% prediction interval for the office rent in a city whose vacancy rate is 10% and whose unemployment rate is 7%.
Image of page 6

Info icon This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
Question 4 – Simple Linear Regression MS Excel Template Below is the template for the output from simple regression using MS Excel. But instead of actual results, the cells are numbered from (1) to (27). Your task is to provide the formulas used to compute each of the cell entries. You can answer this in neat handwritten form; you do not need to type the formulas! Just write each cell number and the corresponding formula after it. Some of these statistics can be obtained by more than one formula. Any correct formula is acceptable. Some of these are most easily obtained from other cells in the table. If so, use "Cell X" as part of your formula. Note: This will be excellent practice for the final exam. We suggest that you keep a copy of your answers to this question as a formula sheet for the exam. SUMMARY OUTPUT Regression Statistics Multiple R (1) R Square (2) Adjusted R Square (3) Standard Error (4) Observations (5) ANOVA df SS MS F Significance F Regression (6) (7) (8) (9) (10) Residual (11) (12) (13) Total (14) (15) Coefficient s Standard Error t Stat P- value Lower 95% Upper 95% Intercept (16) (17) (18) (19) (20) (21) X Variable (22) (23) (24) (25) (26) (27) *** END ***
Image of page 7
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}

What students are saying

  • Left Quote Icon

    As a current student on this bumpy collegiate pathway, I stumbled upon Course Hero, where I can find study resources for nearly all my courses, get online help from tutors 24/7, and even share my old projects, papers, and lecture notes with other students.

    Student Picture

    Kiran Temple University Fox School of Business ‘17, Course Hero Intern

  • Left Quote Icon

    I cannot even describe how much Course Hero helped me this summer. It’s truly become something I can always rely on and help me. In the end, I was not only able to survive summer classes, but I was able to thrive thanks to Course Hero.

    Student Picture

    Dana University of Pennsylvania ‘17, Course Hero Intern

  • Left Quote Icon

    The ability to access any university’s resources through Course Hero proved invaluable in my case. I was behind on Tulane coursework and actually used UCLA’s materials to help me move forward and get everything together on time.

    Student Picture

    Jill Tulane University ‘16, Course Hero Intern