A interpret the slope coefficient b1b explain why the


Hypothesis Test Exercise: The data stored in Housing compares the sale price of a sample of homes in a local country with the assessed value of those homes calculated prior to the sale. Conduct a regression where the Assessed Value of the home is the independent value and is used to predict the house sale price (Price).

a. Interpret the slope coefficient, b1.

b. Explain why the intercept term (b0) does not have a meaningful interpretation.

c. Is the population relationship between the assessed value of the house and the house price statistically significant? Conduct a hypothesis test to answer this question.

d. Is the population relationship between the assessed value of the house and the house price is such that a one-dollar increase in the assessed value of the house will result in a 1.95 dollar increase in the house price? Conduct a hypothesis test to answer this question.

e. Is the population relationship between the assessed value of the house and the house price is such that a one-dollar increase in the assessed value of the house will result in LESS THAN a 1.95 dollar increase in the house price? Conduct a hypothesis test to answer this question.

f. Is the population relationship between the assessed value of the house and the house price is such that a one-dollar increase in the assessed value of the house will result in MORE THAN a 1.60 dollar increase in the house price? Conduct a hypothesis test to answer this question.

Price($000)

Assessed Value

Type

Time

ratio

inverse

194.10

178.17

0

10

0.917929

1.089409

201.90

180.24

0

10

0.892719

1.120173

188.65

174.03

1

11

0.922502

1.084009

215.50

186.31

1

2

0.864548

1.156674

187.50

175.22

1

5

0.934507

1.070083

172.00

165.54

1

4

0.962442

1.039024

191.50

172.43

1

17

0.900418

1.110596

213.90

185.61

1

13

0.867742

1.152416

169.34

160.80

1

6

0.949569

1.053109

196.90

181.88

0

5

0.923718

1.082582

196.00

179.11

1

7

0.913827

1.0943

161.90

159.93

1

4

0.987832

1.012318

193.00

175.27

1

11

0.908135

1.101158

209.50

185.88

0

10

0.887255

1.127071

193.75

176.64

1

17

0.91169

1.096864

206.70

184.36

1

12

0.891921

1.121176

181.50

172.94

1

5

0.952837

1.049497

194.50

176.50

0

14

0.907455

1.101983

169.00

166.28

1

1

0.983905

1.016358

196.90

179.74

0

3

0.912849

1.095471

186.50

172.78

1

14

0.926434

1.079407

197.90

177.90

0

12

0.898939

1.112423

183.00

174.31

1

11

0.952514

1.049854

197.30

179.85

0

12

0.911556

1.097025

200.80

184.78

0

2

0.920219

1.086698

197.90

181.61

0

6

0.917686

1.089698

190.50

174.92

1

12

0.918215

1.089069

197.00

179.98

0

4

0.913604

1.094566

192.00

177.96

1

9

0.926875

1.078894

195.90

179.07

0

12

0.914089

1.093986

 

 

 

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Basic Statistics: A interpret the slope coefficient b1b explain why the
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