[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 \[\bar{x}\] = 36.011

n = 100, answer the following questions.

  1. Calculate \[{{\hat{\beta }}_{1}}\] .
  2. Calculate \[{{\hat{\beta }}_{0}}\] .
  3. Calculate r .
  4. Calculate SSE.
  5. Calculate s 2 .

Price: $2.99
Solution: The downloadable solution consists of 2 pages
Deliverable: Word Document

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