Worksheet #12 An analyst for a shopping district would like to determine the rent that should be charged for retail spaces depending Now they are to parking That is, they would like to predict the rent to charge wing distance from parking. The analyst takes a random sample of retail spaces i sheeping districts and measures the monthly rent (5) and distance from parking in yard) for each r 3. What is the sample intercept, A, what is t 4. Write down the Estimated Regression Equation mple slope, b (ERE) 5. What is the predicted rent for retail spaces that are 50 yards from parking? What is the predicted rent for retail spaces that are 175 yards from parking? Interpret both of these predicted values in words the depend Monthly Rent * Distance from preking the scatterplot of the this analysis? Rent and Distance from Parking Here is the Coefficients Table L the regression output (See the Regression Output Equations handout-the one page roadmap-for reference. This is the table down S Conficeres ecept be 1500330 1147 Error 2413464 6017 141-52 15299 749 10 Lower 95% Upper 95% 1450359 14.47 6.37 B 6. Graph the two points you calculated in 85 on the scatterplot on the first page. If you can't print kat draw the aves, approximate the dets, and draw your line through the two points. Use a straight edge to draw the regressien lee through the two points 7. vterpret the sample slope, by, is words 8. The lower and upper bounds of the T7% confidence interval for the population slope B, are reported in the Distance row of the output in the Lower 95% and Upper 95% columns, respectively. So, the 55% confidence interval for the population slope, is -14.47, -8.37, egret this interval in words