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Price Sqft Beds Baths Colonial 795000 2744 3 2.0 0 793000 2653 4 1.5 0 692000 2429 1 3.0 1 731000 2107 2 3.5 0
Price | Sqft | Beds | Baths | Colonial |
795000 | 2744 | 3 | 2.0 | 0 |
793000 | 2653 | 4 | 1.5 | 0 |
692000 | 2429 | 1 | 3.0 | 1 |
731000 | 2107 | 2 | 3.5 | 0 |
635000 | 2676 | 4 | 4.5 | 0 |
645000 | 2362 | 1 | 1.0 | 1 |
637000 | 2613 | 2 | 1.5 | 0 |
612000 | 2558 | 2 | 3.5 | 0 |
593000 | 2267 | 2 | 1.5 | 1 |
557000 | 2176 | 2 | 1.5 | 0 |
629000 | 1986 | 1 | 3.5 | 1 |
584000 | 3239 | 4 | 2.0 | 0 |
521000 | 1862 | 4 | 3.0 | 0 |
493000 | 1386 | 2 | 1.5 | 1 |
512000 | 2677 | 4 | 2.5 | 0 |
519000 | 2049 | 3 | 2.0 | 0 |
551000 | 1720 | 2 | 2.5 | 1 |
505000 | 1644 | 4 | 2.0 | 0 |
540000 | 1723 | 2 | 2.0 | 0 |
465000 | 1726 | 4 | 2.0 | 1 |
479000 | 1811 | 1 | 3.0 | 0 |
499000 | 1831 | 1 | 2.0 | 1 |
447000 | 1474 | 2 | 1.5 | 0 |
392000 | 2047 | 3 | 1.5 | 1 |
373000 | 1339 | 4 | 1.5 | 0 |
370000 | 1390 | 1 | 2.0 | 1 |
419000 | 1423 | 3 | 2.0 | 1 |
390000 | 1395 | 3 | 1.0 | 0 |
402000 | 1468 | 4 | 2.0 | 1 |
403000 | 2329 | 1 | 1.0 | 0 |
354000 | 1226 | 2 | 1.0 | 0 |
333000 | 1473 | 4 | 1.0 | 1 |
377000 | 1620 | 2 | 2.0 | 0 |
339000 | 1419 | 4 | 2.0 | 0 |
365000 | 1639 | 4 | 2.0 | 1 |
259000 | 612 | 2 | 1.0 | 0 |
6 5 points Skipped A Realtor, is analyzing the relationship between the sale price of a home (Price in $), Its square footage (Sqft), the number of bedrooms (Beds), the number of bathrooms (Baths), and a Colonial dummy variable (Colonial equals 1 if a colonial-style home. 0 otherwise). The accompanying data file shows Information on 36 recent home sales. Click here for the Excel Data File a. Estimate the model: Price = 6 + 61 Sqft+862Beds +63 Baths +84 Colonial + . Note: Negative values should be Indicated by a minus sign. Round Coefficients to 2 decimal places. Coefficients eBook Intercept Sqft Beds Hint Baths References Colonial b-1. Interpret the coefficient of beds. For each additional bedroom in a house, the average price of a house is expected to decreases by $17,976, all else constant. For each additional bedroom in a house, the average price of a house is expected to Increases by $17,976, all else constant. As the price of a house decreases by $17,976, the house is expected to have one more bedroom, all else constant. As the price of a house decreases by $17,976, the house is expected to have one less bedroom, all else constant. b-2. Interpret the coefficient of colonial. All else constant, the price of a colonial-style house is, on average, $3,157 more than a non-Colonial style. All else constant, the price of a colonial-style house is, on average, $3,157 less than a non-Colonial style. All else constant, the price of a colonial-style house is, on average, $157,259 more than a non-Colonial style. All else constant, the price of a colonial-style house is, on average, $157,259 less than a non-Colonial style house. c. Construct the 95% confidence Interval for expected price for a 2,500-square-foot, colonial-style home with three bedrooms and two bathrooms. Note: Round final answers to the nearest whole number. If you are using R, do not use a comma when entering the value for Sqft; that is, use 2500 Instead of 2,500. Confidence Interval to d. Construct the 95% prediction Interval for price for a 2,500-square-foot, colonial-style home with three bedrooms and two bathrooms. Note: Round final answers to the nearest whole number. If you are using R, do not use a comma when entering the value for Sqft; that is, use 2500 Instead of 2,500. Prediction Interval to
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Step: 1
a Estimate the model To proceed with this part you would typically need access to the Excel data file containing the 36 recent home sales However as t...Get Instant Access to Expert-Tailored Solutions
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