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.

a) Calculate \[{{\hat{\beta }}_{1}}\].

b) Calculate \[{{\hat{\beta }}_{0}}\].

c) Calculate r.

d) Calculate SSE.

e) Calculate s².