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Lydia Bennet, a realtor in Brownsburg, Indiana, would like to use estimates from a mulitple regression model to help prospective sellers determine a reasonable asking

Lydia Bennet, a realtor in Brownsburg, Indiana, would like to use estimates from a mulitple regression model to help prospective sellers determine a reasonable asking price for their homes. She believes that the following four factors influence the asking price (Price) of a house:

square footage (SQFT)

NUmber of bedrooms (Bed)

Numbers of bathrooms (bath)

Lot Size (LTSZ)

She randomly collects online listings for 50 single-family homes.

PriceSQFTBedBathLTSZ
3999005.02644.50.3
3750003.2435
3720003.22535
3700004.927440.3
3250003.904331
3250002.64432.55
3195005.31832.52.5
3129003.14442.50.3
2999002.8435
2949003.80443.50.2
2690003.312531
2500003.37353.50.2
2499003.4622.50.6
2449943.19542.50.2
2449002.914330.3
2399002.881450.3
2349001.772323.6
2340002.24832.50.3
2299003.1252.50.2
2199002.94242.50.2
2099003.33242.50.2
2098503.40732.50.3
2069002.092320.3
2000003.859420.2
1949003.32642.50.1
1849001.874320.5
1799001.89231.50.7
1795002.542.50.5
1650002.43542.50.4
1599002.71432.50.2
1599001.8532.50.5
1550003.06843.50.2
1549002.48442.50.3
1520001.529420.4
1499002.87642.50.2
1485002.21142.50.1
1469001.571320.2
1455001.503420.5
1449001.656320.5
1449001.521320.6
1399001.315320.2
1379001.706320.3
1329002.12142.50.1
1299001.306320.5
1297361.402320.5
1250001.325320.3
1195001.234320.2
1103871.292310.2
1066991.3631.50.1
1029001.938310.1
image text in transcribedimage text in transcribed
Provide summary statistics. (10 points) Price SQFI' Bed Bath LTSZ Average Standard Dev. Please round ALL numerical answers to 4 decimal places. Estimate and interpret a multiple regression model where the asking price is the (5 points) response variable and the other four factors are the explanatory variables. Price = [5'0 + SQFT +32 Bed + [1'3Bath + 1841,7152 + s Discuss the coefcients of the four explanatory variables and their meaning within the context of home prices. [12 points] SQFI': Identify and interpret the resulting adjusted R2. 21

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