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As part of your job as a sales manager for a local car dealership, you want to investigate the impact that the age of the car has on its eventual resale value at your dealership. Using a dataset of 53 car sales, you create a linear regression model to predict the sale price of the car. Your analysis yielded a residual standard deviation ( Se) of 14469 and a sx of 8.52. Using this information, what was the SE(6₁) of your analysis?

As part of your job as a sales manager for a local car dealership, you want to investigate the impact that the age of the car has on its eventual resale value at your dealership. Using a dataset of 53 car sales, you create a linear regression model to predict the sale price of the car. Your analysis yielded a residual standard deviation ( Se) of 14469 and a sx of 8.52. Using this information, what was the SE(6₁) of your analysis?

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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As part of your job as a sales manager for a local car dealership, you want to investigate the impact that the age of the car has on its eventual resale value at your dealership. Using a dataset of 53 car sales, you create a linear regression model to predict the sale price of the car. Your analysis yielded a residual standard deviation ( Så) of 14469 and a Så of 8.52. Using this information, what was the SE(b₁) of your analysis?
Transcribed Image Text:As part of your job as a sales manager for a local car dealership, you want to investigate the impact that the age of the car has on its eventual resale value at your dealership. Using a dataset of 53 car sales, you create a linear regression model to predict the sale price of the car. Your analysis yielded a residual standard deviation ( Så) of 14469 and a Så of 8.52. Using this information, what was the SE(b₁) of your analysis?
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