[Steps Shown] Suppose that you obtained the following simple linear regression equation for your data: y#770; = beta #770;_0 + beta #770;_1 x . Given SS
Question: Suppose that you obtained the following simple linear regression equation for your data: \[\hat{y}\] = \[{{\hat{\beta }}_{0}}\] + \[{{\hat{\beta }}_{1}}\] x . Given
SS xx = 4307.391
SS xy = - 287.991
SS yy = 29.702
\[\bar{y}\] =14.841 \[\bar{x}\] = 36.011n = 100, answer the following questions.
- Calculate \[{{\hat{\beta }}_{1}}\] .
- Calculate \[{{\hat{\beta }}_{0}}\] .
- Calculate r .
- Calculate SSE.
- Calculate s 2 .
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