7. The "Salable flowers" experiment considered two factors (factor A: flower variety (LP, WP) and factor B: moisture (low, high)). The response variable was yield of salable flowers with a covariate of lot size. A regression model corresponding to the treatment effects ANCOVA model was used for this covariance analysis. Using this SAS output, answer the following questions. Analysis of Variance DF Sum of Mean Source Squares Square F Value Pr > F Model 4 4966.51882 1241.62970 197.45 <.0001 error corrected total root mse r-square dependent mean adj r-sq coeff var parameter estimates variable df standard estimate t value pr> It| Intercept 82.28831 0.70692 116.40 <.0001 x1 covariance of estimates variable intercept find the true statement. pts a an estimated slope linear relationship between number salable flowers and lot size is b experimental units per treatment combinations statistical significance our main question interest. there significant flower variety moisture interaction effect. e all above. . unbiased estimate for lp effect wp t1 t2 its variance _ write corresponding regression equation using coefficients from above sas output. clearly define any indicator assumptions used in your answer.>