The following table shows the square footage of houses in an area that sold recently along with the selling price. Sq. Ft. Price 2096, 295000, 3160, 338000, 2320, 265000, 3150, 365000, 2760, 330000, 3650, 412000, 2125, 320000, 3085, 342000, 4750, 485000, 2100, 320000, 3100, 316000, 2240, 321000, 3300, 347000, 2800, 350000, 2825, 330000, 3275, 420000 1. Find the equation of the regression line (line of best fit). 2. Determine if there is a strong linear correlation. 3. If there is a strong linear correlation predict the selling price of a 3333 sq. ft. home
The following table shows the square footage of houses in an area that sold recently along with the selling price. Sq. Ft. Price 2096, 295000, 3160, 338000, 2320, 265000, 3150, 365000, 2760, 330000, 3650, 412000, 2125, 320000, 3085, 342000, 4750, 485000, 2100, 320000, 3100, 316000, 2240, 321000, 3300, 347000, 2800, 350000, 2825, 330000, 3275, 420000 1. Find the equation of the regression line (line of best fit). 2. Determine if there is a strong linear correlation. 3. If there is a strong linear correlation predict the selling price of a 3333 sq. ft. home
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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The following table shows the square footage of houses in an area that sold recently along with the selling price.
Sq. Ft. Price 2096, 295000, 3160, 338000, 2320, 265000, 3150, 365000, 2760, 330000, 3650, 412000, 2125, 320000, 3085, 342000, 4750, 485000, 2100, 320000, 3100, 316000, 2240, 321000, 3300, 347000, 2800, 350000, 2825, 330000, 3275, 420000
1. Find the equation of the regression line (line of best fit).
2. Determine if there is a strong
3. If there is a strong linear correlation predict the selling price of a 3333 sq. ft. home
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