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
Step by Step Solution
There are 3 Steps involved in it
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...See step-by-step solutions with expert insights and AI powered tools for academic success
Step: 2
Step: 3
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