The data show the list and selling prices for several expensive homes. Find the regression equation, letting the the list price be the independent (x) variable. Find the best predicted selling price of a home having a list price of $2 million. Is the result close to the actual selling price of $1.5 million? Use a significance level of 0.05. List price (millions of $) Selling price (millions of $) 2.8 3.4 3.4 2.1 2.4 2.6 2.6 3.6 3.7 1.6 2.1 2.8 Click the icon to view the critical values of the Pearson correlation coefficient r. What is the regression equation? y =+ x (Round to four decimal places as needed.) What is the best predicted selling price of a home having a list price of $2 million? The best predicted selling price for a home having a list price of $2 million is $million. (Round to two decimal place as needed.) Is the result close to the actual selling price of $1.5 million? O A. The result is close to the actual selling price of $1.5 million. B. The result is exactly the same as the actual selling price of $1.5 million. O C. The result is not close to the actual selling price of $1.5 million.

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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The data show the list and selling prices for several expensive homes. Find the regression equation, letting the the list price be the independent (x) variable. Find the best predicted
selling price of a home having a list price of $2 million. Is the result close to the actual selling price of $1.5 million? Use a significance level of 0.05.
List price (millions of $)
Selling price (millions of $)
2.8
3.4
3.4
2.1
2.4
2.6
2.6
3.6
3.7
1.6
2.1
2.8
Click the icon to view the critical values of the Pearson correlation coefficient r.
What is the regression equation?
y =+ x (Round to four decimal places as needed.)
What is the best predicted selling price of a home having a list price of $2 million?
The best predicted selling price for a home having a list price of $2 million is $
(Round to two decimal place as needed.)
million.
Is the result close to the actual selling price of $1.5 million?
O A. The result is close to the actual selling price of $1.5 million.
O B. The result is exactly the same as the actual selling price of $1.5 million.
O C. The result is not close to the actual selling price of $1.5 million.
Transcribed Image Text:The data show the list and selling prices for several expensive homes. Find the regression equation, letting the the list price be the independent (x) variable. Find the best predicted selling price of a home having a list price of $2 million. Is the result close to the actual selling price of $1.5 million? Use a significance level of 0.05. List price (millions of $) Selling price (millions of $) 2.8 3.4 3.4 2.1 2.4 2.6 2.6 3.6 3.7 1.6 2.1 2.8 Click the icon to view the critical values of the Pearson correlation coefficient r. What is the regression equation? y =+ x (Round to four decimal places as needed.) What is the best predicted selling price of a home having a list price of $2 million? The best predicted selling price for a home having a list price of $2 million is $ (Round to two decimal place as needed.) million. Is the result close to the actual selling price of $1.5 million? O A. The result is close to the actual selling price of $1.5 million. O B. The result is exactly the same as the actual selling price of $1.5 million. O C. The result is not close to the actual selling price of $1.5 million.
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