Question
please help thank you!

Selling Information For Real Estate Value Price SqFt Brick (1 if brick, if othewise) $241,255 3,392 0 $184,518 2,038 1 $176,4
Industrial CEO Salary Experience Service $133,125 $126,200 $195,729 $217,435 $147,113 $158,000 $148,363 $160,165 $132,750 $16
For this question your answer will come from Table 4. Suppose the data were collected relating the selling price of a house t
For this question your answer will come from Table 4. Suppose the data were collected relating the selling price of a house t
Use Table 5 to answer the following question. For the last series of questions, ensure that your data includes a 90% Confiden
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Answer #1
Price SqFt Brick Salary Experience Service Industrial
241255 3392 0 133125 6 0 1
184518 2038 1 126200 2 1 0
176488 1906 0 195729 23 0 0
240068 3329 0 217435 28 0 0
169760 1828 0 147113 13 0 1
185335 2081 0 158000 21 0 1
172735 1926 0 148363 15 1 0
224281 3425 0 160165 12 0 0
172589 1676 1 132750 1 0 1
214635 2735 1 160500 23 0 1
199666 2373 1 183625 21 0 0
208348 2662 1 166975 30 1 0
218360 2834 1 144400 12 1 0
230160 3254 0 159913 29 1 0
164812 1431 0 190813 21 0 0
191560 1839 1
203255 2456 1
173325 1530 0
168073 1381 1
179620 1457 1

35)

The regression equation is Price = 111974 + 35.619 SqFt + 5683 Brick Predictor Constant SqFt Brick Coef SE Coef T P 111974 55

The predicted value of the house price when SqFt is 2275 and it is made of brick is

Price = 111974 + 35.619*2275 + 5683 *1 = $ 198689.

Q 31) The p-value for the test of slope corresponding to the independent variable SqFt is 0.000 and less than 0.01. Hence, we can conclude that the coefficient of SqFt is significant at the 0.01 level of significance.

Ans: Yes.

Q. 39.

The regression equation is Salary - 155889 - 34933 Service + 1603.1 Experience - 30111 Industrial Predictor Coef SE Coef IP C

The expected salary for a CEO who is the service sector with 14 years of experience is

Salary = 155889 - 34933*1+ 1603.1*14 - 30111*0=143400

Ans: $ 143400

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