MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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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.
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Transcribed Image Text: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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Transcribed Image Text: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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