Class Notes (835,342)
Canada (509,116)
Administration (2,694)
ADM2304 (69)
Tony Quon (67)
Lecture 21

ADM2304 Lecture 21: 21

4 Pages
Unlock Document

Tony Quon

Degrees of freedom: Sum of Squares Mean Square = SSTotalhas n 1 d.f. Degrees of freedom Divide total deviation of y from y into two parts: SSR has 1 d.f. yi y = (yi ) + (yi i) n 2 n 2 n 2 SSE has n 2 d.f. (yi y) = (yi y) + (yi yi) i=1 i=1 i=1 Square both sides and sum over all observations: Sum of Squares Sum of Squares Sum of Squares n 2 n 2 = ANOVA: (i y) = yi y) (yi i Total Model Error i=1 i=1 n 2 n 2 SSTotal = SSR + SSE = (yi ) + (yi i) (cross products = 0) i=1 i=1 Source of Sum of Deg. of Mean Square F Var. Squares freedom Total Variation = Explained Var. + Unexplained Var. 1 MSR = SSR1 MSRMSE Error SSE n 2 MSE = SSE(n 2) Total SSTotal n 1 ANOVA Table: SSTotal = (y y) =(n1)s 2 i y i 1 2 xi i ( xi)( yi) 2 n Computational Formulas SSR = (yi y) = 1 2 i xi ( ) xi n SSE = SSTotalSSR 2 MSE = (yi yi) = s s = MSE n2 H :0 =0 1 H :0 = 0 Alternative Hypothesis Test: If we let r be the sample correlation coefcient and be the population correlation coefcient, then testing is equivalent to testing . Why? Test statistic:
More Less

Related notes for ADM2304

Log In


Join OneClass

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

Sign up

Join to view


By registering, I agree to the Terms and Privacy Policies
Already have an account?
Just a few more details

So we can recommend you notes for your school.

Reset Password

Please enter below the email address you registered with and we will send you a link to reset your password.

Add your courses

Get notes from the top students in your class.