4. Data on the unemployment rate and alcohol sales were analyzed. The following regression equation was computed from a sample of 18 data points.
?̂ = 3 . 5 9 + . 7 2 ?
(A) Complete this ANOVA table. (9)
Source |
SS | df | MS | F |
Regression | ||||
Error | 301.1 | |||
Total | 403.8 |
(B) Determine the standard error of estimate. (Round to 3 decimals.) (9)
(C) Determine the coefficient of determination. (Round to 3 decimals.) (9)
(D) Determine the correction coefficient. Clearly indicate the sign. (Round to 3 decimals.) (5)
(E) Draw a picture of what this regression would look like on a scatterplot. (8)
Explain, based on the coefficient of determination, whether we can reliably say something about alcohol sales based on information from unemployment statistics. Be sure to clearly articulate what the coefficient of determination is conceptually, in your own words and using the terms of this example!
Solution-A
df regression=k=1
df error=n-k-1=18-1-1=16
MS regression=SS regression/df regression
MS error=SS error/df error
F=MS regression/MS error
Solution-B:
Standard error of estiamte=sqrt(MSE)=sqrt(18.81875)= 4.338058=4.338
Se=4.338
Solution-c:
R sq=SS Regression/SS total
=102.7/403.8
= 0.2543338
=0.254
R sq=0.254
Solution-d:
correlation coeffcient=sqrt(R sq)
=sqrt(0.2543338)
= 0.5043152
0.504
r=0.504
since slope is positive
r=+0.504
correlation coeffcient,r=+0.504
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