Can I use 8 questions and have all 8 completed, thank you. 4. Write down the Estimated Regression Equation (ERE).5. What is the predicted rent for retail spaces that are 30 yards from parking? What is the predicted rentfor retail spaces that are 175 yards from parking? Interpret both of these predicted values in words.6. Graph the two points you calculated in a3 on the scatterplot above. If you can't print it out, just drawthe axes, approximate the dots, and draw your line through the two points. Use a straight edge to drawthe regression fine through the two points.7. Interpret the sample slope, b, in words8. The lower and upper bounds of the 93% confidence interval for the population silope , are reportedin the Distance row of the output in the Lower 95% and Upper 95% columns, respectively. So, the 93%confidence interval for the population slope f is (-14.47, -837). Interpret this interval in words. An analyst for a shopping district would like to determine the rent that should be charged for retailspaces depending on how close they are to parking That is, they would like to determine the rent tocharge, using distance from parking. The analyst takes a random sample of retail spaces in similarshopping districts and messures the monthly rent (5) and distance from parking (in yards) for each retailspace1) what are the dependent and independent variables in this analysis?y=Here is the scatterplot of the data:Rent and Distance from Parking1700010000150001400013000.B120001100010000O 23 so 75 100 125 150 175 200 225 250 275 so0Distance from Parking lyarda)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 Equationshandout - the one-page roadmap-for reference. This is the third table down):StandardCoefficientst StatLower 95%Upper 95%ErrorP-valueIntercept15003.10249.346460.1714E-5214503.5915302.6Distance-11.421.5239-7.495.28E-10-14.47-8.373. What is the sample intercept, h, What is the sample slope, b,Monthyl Rent (5)

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An analyst for a shopping district would like to determine the rent that should be charged for retail spaces depending on how close they are to paning. That is, they would like to determine the rent to charge, using aistance from parning. The analyst takes a random sampie of retail spaces in similer shopping districts and measures the monthly rent (5) and distance from parking (in yards) for each retail space. 4) What are the dependent and independent variables in this analysist

An analyst for a shopping district would like to determine the rent that should be charged for retail spaces depending on how close they are to paning. That is, they would like to determine the rent to charge, using aistance from parning. The analyst takes a random sampie of retail spaces in similer shopping districts and measures the monthly rent (5) and distance from parking (in yards) for each retail space. 4) What are the dependent and independent variables in this analysist

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Statements and Logic

Logic is the analysis of general patterns of thoughts without regard to any specific sense of context.

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Can I use 8 questions and have all 8 completed, thank you.

4. Write down the Estimated Regression Equation (ERE).
5. What is the predicted rent for retail spaces that are 30 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.
6. Graph the two points you calculated in a3 on the scatterplot above. If you can't print it out, just draw
the axes, approximate the dots, and draw your line through the two points. Use a straight edge to draw
the regression fine through the two points.
7. Interpret the sample slope, b, in words
8. The lower and upper bounds of the 93% confidence interval for the population silope , are reported
in the Distance row of the output in the Lower 95% and Upper 95% columns, respectively. So, the 93%
confidence interval for the population slope f is (-14.47, -837). Interpret this interval in words.

An analyst for a shopping district would like to determine the rent that should be charged for retail
spaces depending on how close they are to parking That is, they would like to determine the rent to
charge, using distance from parking. The analyst takes a random sample of retail spaces in similar
shopping districts and messures the monthly rent (5) and distance from parking (in yards) for each retail
space
1) what are the dependent and independent variables in this analysis?
y=
Here is the scatterplot of the data:
Rent and Distance from Parking
17000
10000
15000
14000
13000
.B
12000
11000
10000
O 23 so 75 100 125 150 175 200 225 250 275 so0
Distance from Parking lyarda)
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):
Standard
Coefficients
t Stat
Lower 95%
Upper 95%
Error
P-value
Intercept
15003.10
249.3464
60.17
14E-52
14503.59
15302.6
Distance
-11.42
1.5239
-7.49
5.28E-10
-14.47
-8.37
3. What is the sample intercept, h, What is the sample slope, b,
Monthyl Rent (5)

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