The accompanying data table contains the listed prices (in thousands of dollars) and the number of square feet for 20 homes listed by a realtor in a certain city. Square Feet Price ($000) 833 203 3,235 652 1,497 281 898 204 1,914 373 2,402 378 948 202 929 197 1,623 336 2,139 335 3,241 466 1,758 312 2,118 356 3,046 531 801 183 1,958 402 843 202 2,579 521 3,177 482 2,768 445 (b) Estimate the linear equation using least squares. Interpret the fitted intercept and slope. Be sure to include their units. Note if either estimate represents a large extrapolation and is consequently not reliable. Complete the equation for the fitted line below. Estimated Price ($000) =.....+.... Size (Square Feet)

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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The accompanying data table contains the listed prices (in thousands of dollars) and the number of square feet for 20 homes listed by a realtor in a certain city. Square Feet Price ($000) 833 203 3,235 652 1,497 281 898 204 1,914 373 2,402 378 948 202 929 197 1,623 336 2,139 335 3,241 466 1,758 312 2,118 356 3,046 531 801 183 1,958 402 843 202 2,579 521 3,177 482 2,768 445 (b) Estimate the linear equation using least squares. Interpret the fitted intercept and slope. Be sure to include their units. Note if either estimate represents a large extrapolation and is consequently not reliable. Complete the equation for the fitted line below. Estimated Price ($000) =.....+.... Size (Square Feet)
(c) Interpret the summary values 2 and so associated with the fitted equation. Attach units to these summary statistics as appropriate.
2 =
with
Se =
with
(Round to three decimal places as needed.)
Transcribed Image Text:(c) Interpret the summary values 2 and so associated with the fitted equation. Attach units to these summary statistics as appropriate. 2 = with Se = with (Round to three decimal places as needed.)
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