2. Fit the simple linear regression model TIME = B0+ B1ENZ + . Write down the estimated regression function and exam the residual plot and normality test. Describe what you observed and make brief comments (Hints: you may need to check the ANOVA table, Parameter Estimates table, R-square, residual plot, and normality test).

The REG Procedure Model: MODEL1 Dependent Variable: time Number of Observations Read 54 Number of Observations Used 53 Number of Observations with Missing Values 1 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 224666 224666 23.56 <.0001 error corrected total root mse r-square dependent mean adj r-sq coeff var parameter estimates standard variable df estimate t value pr> |t| 95% Confidence Limits Intercept 1 -55.94591 51.46014 -1.09 0.2821 -159.25645 47.36463 enz 1 3. 15608 0.65015 4.85 <.0001>