A least-squares simple linear regression model was fit
predicting duration (in minutes) of a dive from depth of the dive
(in meters) from a sample of 43 penguins' diving depths and
times.
Calculate the R-squared value for the regression by filling in the
ANOVA table.
SS | df | MS | F-statistic | |
---|---|---|---|---|
Regression | ||||
Residual | 1182.955 | |||
Total | 537814.901 |
0.91 |
||
0.0902 |
||
0.0022 |
||
4.92461123041641e-23 |
DF:
Since linear regression with one predictor is used, DF(Regression)=1
DF(Total)=43-1=42 as 43 observations are there
DF(Residual)=42-1=41
SS:
Given that MS(Residual)=SS(residual)/41=1182.955 so that SS(Residual)=41*1182.955=48501.15
SS(Regression)=SS(Total)-SS(Residual)=537814.901-48501.15=489313.8
MS:
MS(Regression)=SS(regression)/1=489313.8
F statistic=MS(Regression)/MS(Residual)=489313.8/48501.15= 10.08871
R Square=SS(Regression)/SS(Total)=489313.8/537814.901=0.9098182=.91 (approx to two decimal)
Thus first option is the correct
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