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 = 23.11 +0.15 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 296.2 1797 292.66 3.54 314.8 1920 311.11 3.69 237.2 1419 235.96 1.24 239.9 1441 239.26 0.64 315.6 1973 319.06 - 3.46 210.0 1262 212.41 -2.41 174.8 1004 173.71 1.09 233.1 1385 Squared Error 12.5316 13.6161 1.5376 0.4096 11.9716 5.8081 1.1881 Find the missing values in the table for an observed selling price of 233.1 and square footage of 1385. Round your answers to two decimal places, if necessary. Find the missing values in the table for an observed selling price of 233.1 and square footage of 1385. Round your answers to two decimal places, if necessary. Answer I Tables Keypad Predicted selling price thousands of dollars) = Error= Squared error=
