One of the biggest factors in determining the value of a home is the square footage. The accompanying data represent the square footage and selling price (in thousands of dollars) for a random sample of homes for sale in a certain region. Complete parts (a) through (h) below. Click the icon to view the housing data. (a) Which variable is the explanatory variable? O Selling Price Square Footage (b) Draw a scatter diagram of the data. Choose the correct scatter diagram below. A. Ay 750- 150- T 1000 1. 09 ++> 4500 Q a OB. (Round to three decimal places as needed.) 4500 Ay 1000- 1000 4500 Q (c) Determine the linear correlation coefficient between square footage and asking price. C O C. 4500 Ax 1000+ 150 750 OD. Ax 750- T 150++ 1000 ▬▬▬▬ + 4500 Q a
One of the biggest factors in determining the value of a home is the square footage. The accompanying data represent the square footage and selling price (in thousands of dollars) for a random sample of homes for sale in a certain region. Complete parts (a) through (h) below. Click the icon to view the housing data. (a) Which variable is the explanatory variable? O Selling Price Square Footage (b) Draw a scatter diagram of the data. Choose the correct scatter diagram below. A. Ay 750- 150- T 1000 1. 09 ++> 4500 Q a OB. (Round to three decimal places as needed.) 4500 Ay 1000- 1000 4500 Q (c) Determine the linear correlation coefficient between square footage and asking price. C O C. 4500 Ax 1000+ 150 750 OD. Ax 750- T 150++ 1000 ▬▬▬▬ + 4500 Q a
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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Find the least-squares regression line treating square footage as the explanatory variable.
y =
(Round the slope to three decimal places as needed. Round the intercept to one decimal place as needed.)
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