Find the missing values in the table for an observed selling price of 394.2 and square footage of 1984. Round your answers to two decimal places, if necessary. Answer Predicted selling price thousands of dollars Error= Squared error= Tables Keypac Keyboard Shortcu

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section 13.1

 

Find the missing values in the table for an observed selling price of 394.2 and square footage of 1984. Round your answers to two
decimal places, if necessary.
Answer
Predicted selling price (thousands of dollars)
=
Error=
Squared error=
Tables
Keypad
Keyboard Shortcuts
Transcribed Image Text:Find the missing values in the table for an observed selling price of 394.2 and square footage of 1984. Round your answers to two decimal places, if necessary. Answer Predicted selling price (thousands of dollars) = Error= Squared error= Tables Keypad Keyboard Shortcuts
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 = 33.14+0.18(Square Footage).
In order to find the sum of squared errors for this data, we have constructed the following table.
Observed Selling Price (Thousands
of Dollars)
252.7
286.5
271.5
224.6
273.3
316.3
276.0
394.2
Housing Prices and Square Footage
Observed Square Predicted Selling Price (Thousands
Footage
of Dollars)
1209
250.76
1504
303.86
1417
288.20
1109
232.76
1212
251.30
1506
304.22
1437
291.80
1984
Squared
Error
1.94
3.7636
-17.36
301.3696
-16.70 278.8900
- 8.16
66.5856
22.00
484.0000
12.08
145.9264
-15.80 249.6400
Error
Transcribed Image Text: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 = 33.14+0.18(Square Footage). In order to find the sum of squared errors for this data, we have constructed the following table. Observed Selling Price (Thousands of Dollars) 252.7 286.5 271.5 224.6 273.3 316.3 276.0 394.2 Housing Prices and Square Footage Observed Square Predicted Selling Price (Thousands Footage of Dollars) 1209 250.76 1504 303.86 1417 288.20 1109 232.76 1212 251.30 1506 304.22 1437 291.80 1984 Squared Error 1.94 3.7636 -17.36 301.3696 -16.70 278.8900 - 8.16 66.5856 22.00 484.0000 12.08 145.9264 -15.80 249.6400 Error
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