Suppose we want to use data on square footage to predict home sale prices. An equation that fits the data below reasonably well is  Predicted Selling Price=18.03+0.13(Square Footage). In order to find the sum of squared errors for this data, we have constructed the following table.  Housing Prices and Square Footage Observed Selling Price (Thousands of Dollars) Observed Square Footage Predicted Selling Price (Thousands of Dollars) Error Squared Error 189.1 1359 194.70 − 5.60 31.3600 260.2 1910 266.33 − 6.13 37.5769 146.2 1015 149.98 − 3.78 14.2884 250.1 1808 253.07 − 2.97 8.8209 191.2 1329 190.80 0.40 0.1600 202.9 1420 202.63 0.27 0.0729 198.5 1455 207.18 − 8.68 75.3424 223.5 1625       Find the missing values in the table for an observed selling price of 223.5 and square footage of 1625. Round your answers to two decimal places, if necessary.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Suppose we want to use data on square footage to predict home sale prices. An equation that fits the data below reasonably well is
 
Predicted Selling Price=18.03+0.13(Square Footage).

In order to find the sum of squared errors for this data, we have constructed the following table.
 
Housing Prices and Square Footage
Observed Selling Price (Thousands of Dollars) Observed Square Footage Predicted Selling Price (Thousands of Dollars) Error Squared Error
189.1 1359 194.70 − 5.60 31.3600
260.2 1910 266.33 − 6.13 37.5769
146.2 1015 149.98 − 3.78 14.2884
250.1 1808 253.07 − 2.97 8.8209
191.2 1329 190.80 0.40 0.1600
202.9 1420 202.63 0.27 0.0729
198.5 1455 207.18 − 8.68 75.3424
223.5 1625      

Find the missing values in the table for an observed selling price of 223.5 and square footage of 1625. Round your answers to two decimal places, if necessary.
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