3. What is the sample intercept. A? What is the sample slope, B 4. Write down the Estimated Regression Equation (ERE) An analyst for a shopping district would like to determine the rent that should be charged for tes spaces depending on how close they are to parking That is, they would like to predict the rent to charge, using distance from parking. The analyst takes a random sample of retail spaces in similar shopping districts and measures the monthly rent (5) and distance from parking in yards) for each retail space 11 What are the dependent and independent variables in this analysis? - Monthley Rent ..Distance from parking Here is the scamerplot of the data: Rent and Distance from Parking 5. what is the predicted rest for retail spaces that are 50 yards from parking? for retail spaces that are 175 yards from parking? interpret both of these predicted v 54000 13000 12000 11000 30000 20 275 300 Distance from Parking yard 2. Do you anticipate that the regression line will have a positive or a negative slope? Why? Here is the Coefficients Table from the regression output (See the Regression Output Equations handout-the one page roadmap-for reference. This is the third table down) Conficients Intercept be 25009.30 Standard Error 249.3464 Sear 6017 Pvolve 1.4E-52 A=Distance b -11 42 15299 -749 5286-10 Lever bound Lower 95% Upper 55% 14503.59 550263 14.47 Cf B 4 Bound 6. Graph the two points you calculated in 5 on the scatterplot on the first page. If you can't print it out just draw the axes, approximate the dots, and draw your line through edge to draw the regression line through the two points 7. Interpret the sample slope, h,, in words 8. The lower and upper bounds of the 95% confidence interval for the population slope in the Distance row of the output in the Lower 95% and Upper 95% o confidence interval for the population slope A, is-14.47, 4.37) interpret this interv 95%