(Ln-Ln Model) For each week of 2020, a liquor wholesaler records the number of cases sold of a popular microbrew that has just gone into mass production and the average price of a case for that week. Using Excel, they fit the simple regression model: Cases Sold vs. Price ($). Because the normal linear model conditions are not satisfied for this model, they consider logarithmic transformation of the variables. The model: LnCasesSold vs. LnPrice satisfies the normal linear model conditions. (Note: Ln stands for the natural logarithm; that is, the logarithm with base e.) The Excel output is shown below. Use this output for Problems 6-8. SUMMARY OUTPUT Regression Statistics Multiple R 0.942418 R Square 0.888152 Adjusted R 0.885915 Standard E 0.355874 Observatic 52 Coefficientsandord Err t Stat P-value Intercept 23.83127 0.945641 25.20118 4.43E-30 LnPrice -6.70521 0.33651 -19.9257 1.95E-25