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MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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
Transcribed Image Text:Suppose that you are a manager for a factory that produces coats. You want to
create a regression model with several variables to predict the price that a
customer will be willing to pay for a coat. You examine the price the customers
were willing to pay for your past 32 coat designs, along with the amount of
material used (measured in yards), number of brands involved with the
design/advertising, and the number of designs on the coat. The incomplete
results of your multiple linear regression model are displayed below:
Variable
Coeff
SE(Coeff)
t-ratio
P-value
Intercept
86.19
53.21
Material used
42.5
1.2
(yards)
Number of
21
3.4
Brands
Number of
39.49
2
Designs
Using this information, what is the coefficient of the predictor variable "Number
of Brands"?

Transcribed Image Text:0.16
O 6.17
71.4
021
O 0.025
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