1 0.0036 Surface Angle Predictor Coef SE Coef T P Constant 60.0286 0.2466 243.45 0.000 Surface Angle 0.00357 0.03823 0.09 0.931 S 5 0.511766 R-Sq 5 0.3% R-Sq(adj) 5 0.0%

Analysis of Variance Source DF SS MS F P Regression 1 0.0023 0.0023 0.01 0.931 Residual Error 3 0.7857 0.2619 Total 4 0.7880

a. Assuming that the basic assumptions of the simple linear regression model are reasonably met, carry out a hypothesis test to decide if there is a useful linear relationship between x and y.

b. Are the values of se and r 2 consistent with the conclusion from Part (a)? Explain.