In: Statistics and Probability
Confirm in testing the single restriction b1=0 that the t test is equal to the F test.
The procedure of testing for a linear association between the response and predictor variables using the analysis of variance involves using the F–distribution. This is the same distribution we used in the 1-Way ANOVA. The testing procedure is as follows:
1. H0 : β1 =0 HA:β1=0 (This will always be a 2–sided test)
2.Test Statistic: Fobs = MSR /MSE
3. Rejection Region.: Fobs >F1,n−2,α
4. p-value: P(F>Fobs)
Note that we already have a procedure for testing this hypothesis, (The procedure to test if β1 is equal to some value, say β01. • H0 :β1 =β01 (β01 specified, usually 0)
• (1) Ha : β1= β01
(2) Ha : β1 >β01
(3) Ha : β1 <β01
• Test Statistic:tobs = b1−β01/( se/ √SSxx) = (b1−β01)/sb1
• Rejection Region
(1) RR: |tobs|≥tα/2,n−2
(2) RR : tobs ≥ tα,n−2
(3) RR : tobs ≤−tα,n−2
• (1) P–value: 2 ·P(t ≥|tobs|)
(2) P–value: P(t ≥ tobs)
(3) P–value: P(t ≤ tobs))
but F-test is an important lead–in to multiple regression.