Class Notes (808,092)
Statistics (433)
STATS 2B03 (176)
Aaron Childs (174)
Lecture

# Multiple Regression and Correlation (2).docx

2 Pages
74 Views

School
McMaster University
Department
Statistics
Course
STATS 2B03
Professor
Aaron Childs
Semester
Fall

Description
November 21 , 2012 Stats 2B03: Statistical Methods for Science Multiple Regression and Correlation (2) 10.3 The Multiple Regression Equation - example: from the Databank data set  y = blood pressure  x1= weight  x = age 2  then from Minitab output #25 on page 74 of the courseware is for the model y = β 0 β x1 1β x 2 2rom the output we see that ŷ = 87.899 + .15292x +1.50530x , e2g. if someone is 38 years of age and weighs 200lbs, then their blood pressure is predicted to be ŷ = 87.899 + .15292(200) + .50530(38) = 137.68 10.4.1 Evaluating the multiple regression equation: overall F-test - the ANOVA table for multiple regression is as follows, Source SS d.f. MS F Regression SSR K SSR/k MSR/MSE Error SSE ∑ n-k-1 SSE/n-k-1 Total SST (syy n-1 - k = # of x-variables - the F-statistic in this ANOVA table tests the hypothesis H :0β =1β =2…= β = 0k H : at least on β≠0 A i - H0: no linear relation between y and may of the x-variables - HA: a linear relationship exist between y and at least one of the x-variables - Example (continued):  From the Minitab output, the p-value (given under P in the ANOVA table) for the above F-test is .000
More Less

Related notes for STATS 2B03

OR

Don't have an account?

Join OneClass

Access over 10 million pages of study
documents for 1.3 million courses.

Join to view

OR

By registering, I agree to the Terms and Privacy Policies
Just a few more details

So we can recommend you notes for your school.