{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

Prob 12.14 - 0.5 Standard Error 1.14 Observations 10 ANOVA...

Info icon This preview shows pages 1–6. Sign up to view the full content.

View Full Document Right Arrow Icon
Metropolitan Area Index Salary Oklahoma City 82.44 23.9 Tampa/St. Petersburg/Clearwa 79.89 24.5 Indianapolis 55.53 27.4 Buffalo/Niagara Falls 41.36 27.7 Atlanta 39.38 27.1 Rochester 28.05 25.6 Sacramento 25.50 28.7 Raleigh/Durham/Chapel Hill 13.32 26.7 San Diego 3.12 27.8 Honolulu 0.57 28.3
Image of page 1

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

View Full Document Right Arrow Icon
x y x^2 xy y^2 82.44 23.9 6796.3536 1970.32 571.21 79.89 24.5 6382.4121 1957.31 600.25 55.53 27.4 3083.5809 1521.52 750.76 41.36 27.7 1710.6496 1145.67 767.29 39.38 27.1 1550.7844 1067.2 734.41 28.05 25.6 786.8025 718.08 655.36 25.50 28.7 650.2500 731.85 823.69 13.32 26.7 177.4224 355.64 712.89 3.12 27.8 9.7344 86.74 772.84 0.57 28.3 0.3249 16.13 800.89 369.1600 267.7000 21148.3148 9570.4540 7189.5900 = sums 36.916 26.77 = means
Image of page 2
SUMMARY OUTPUT Regression Statistics Multiple R 0.75 R Square 0.56 Adjusted R Square
Image of page 3

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

View Full Document Right Arrow Icon
Image of page 4
Image of page 5

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

View Full Document Right Arrow Icon
Image of page 6
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: 0.5 Standard Error 1.14 Observations 10 ANOVA df SS MS F Significance F Regression 1 12.94 12.94 10.03 0.01 Residual 8 10.32 1.29 Total 9 23.26 Coefficients Standard Error t Stat P-value Lower 95% Intercept 28.3 0.6 46.99 26.91 X Variable 1-0.04 0.01-3.17 0.01-0.07 Upper 95% 29.69-0.01 x y 82.44 23.9 79.89 24.5 55.53 27.4 41.36 27.7 39.38 27.1 28.05 25.6 25.50 28.7 13.32 26.7 3.12 27.8 0.57 28.3 0.00 20.00 40.00 60.00 80.00 100.0 0.0 5.0 10.0 15.0 20.0 25.0 30.0 35.0 f(x) = -0.04x + 28.3 R² = 0.56 y Linear Re-gression for cost of living index, x starting salary, y ($K) 00 r y...
View Full 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