A small business owner wants to know if the she can predict weekly salės based on the amount of money she spends on advertising. She already has the data in her excel spread sheet and quickly computes the regression equation to be y = 5x + 32 R?= 0.63 a. According to the equation, how much money should she spend on advertising to have sales of 50,000? b. What does the slope mean in terms of the situation? c. What does the y-intercept mean in terms of the situation? d. What does the coefficient of determine mean in terms of the situation?

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Define both x and y in all problems. x is the cause, and y is the effect. This is the most important step when doing linear regression, otherwise, all the remanding parts will be wrong.

A small business owner wants to know if the she can predict weekly sales based
on the amount of money she spends on advertising. She already has the data in her
excel spread sheet and quickly computes the regression equation to be
y= 5x + 32
R2= 0.63
a. According to the equation, how much money should she spend on advertising
to have sales of 50,000?
b. What does the slope mean in terms of the situation?
c. What does the y-intercept mean in terms of the situation?
d. What does the coefficient of determine mean in terms of the situation?
Transcribed Image Text:A small business owner wants to know if the she can predict weekly sales based on the amount of money she spends on advertising. She already has the data in her excel spread sheet and quickly computes the regression equation to be y= 5x + 32 R2= 0.63 a. According to the equation, how much money should she spend on advertising to have sales of 50,000? b. What does the slope mean in terms of the situation? c. What does the y-intercept mean in terms of the situation? d. What does the coefficient of determine mean in terms of the situation?
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