Perfect Properties have collected sales data from property sales in the northern suburbs of Cape Town...

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Basic Math

Perfect Properties have collected sales data from property salesin the northern suburbs of Cape Town for the past month. In thetable below you are supplied with the selling price (SP) of thehouse in Rand, the size of the plot in m2 (P) as well asthe size of the house, also in m2 (H). They areinterested in understanding which of these two factors influencethe selling price.

House

Selling price (SP)

Plot size in m2 (P)

House area in m2 (H)

1

R3 264 000

1012

118

2

R4 054 000

1922

268

3

R3 448 000

1214

179

4

R3 718 000

2023

189

5

R3 634 000

1619

294

6

R3 914 000

1821

170

7

R3 564 000

506

188

8

R3 972 000

1113

181

9

R4 288 000

2023

242

10

R3 824 000

1720

190

11

R3 218 000

708

189

12

R3 556 000

1012

233

13

R3 674 000

708

213

14

R3 416 000

1012

151

15

R3 292 000

607

262

16

R3 198 000

1821

123

17

R3 684 000

1214

255

18

R3 436 000

911

277

19

R3 696 000

1113

272

20

R3 904 000

708

276

Use the data in the sheet named “Perfect” andanswer the following questions:

  1. Decide which linear regression model (with size of plot (P) orsize of house (H) or both as independent variable) is the bettermodel in explaining the behaviour of selling prices (SP) andmotivate your selection.

The remaining answers must be based onthe model that you have selected.

  1. What is the total variation in “Selling Price” that isexplained by the independent variable(s) that you haveselected?
  2. Is the overall regression model statistically significant? Testat the 5% level of significance using the model that you haveselected in a. For this test formulate the appropriate null andalternative hypothesis, determine the region of acceptance, use theappropriate test statistic and draw the statistical and managementconclusions.
  3. Write down the linear regression equation in algebraic formatusing SP for Selling price, P for plot size and H for the size ofthe house.
  4. Compute the expected Selling price for a house that stands on aplot of 1500 m2 and has a house that covers 245m2.

Compute the 95% confidence interval of the mean expense for ahouse that stands on a plot of 1500 m2 and has a housethat covers 245 m2.

Answer & Explanation Solved by verified expert
4.4 Ratings (667 Votes)
aWhen we regress with Plot size we get the followingresultsMultiple R0478655RSquare022911Adjusted R Square0186283CoefficientsStandard Errort StatPvalueIntercept328878416227392026687766E14Plot size in m2 P2815316121720823129290032759When we regress with House area we get the followingresultsMultiple R036864RSquare0135895Adjusted R Square008789CoefficientsStandard Errort StatPvalueIntercept319937826810021193352552E10House area in m2 H205303122022516825010109737When we regress with both the    See Answer
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