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Build a multiple regression model

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Reference no: EM133035689

  1. Build a multiple regression model to predict ln(C) by taking S and N or their natural logarithms, as well as CT, as the independent variables. Make sure to check for multicollinearity.
  2. Use residual analysis and R2 to check your model.
  3. State which variables are important in predicting the cost of constructing an LWR plant.
  4. State a prediction equation that can be used to predict ln(C).
  5. Does adding CT improve R2? If so, by what amount?

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Plant

C

S

N

CT

1

460.05

687

14

0

2

452.99

1,065

1

1

3

443.22

1,065

1

1

4

652.32

1,065

12

1

5

642.23

1,065

12

1

6

345.39

514

3

1

7

272.37

822

5

0

8

317.21

457

1

0

9

457.12

822

5

0

10

690.19

792

2

1

11

350.63

560

3

0

12

402.59

790

6

0

13

412.18

530

2

1

14

495.58

1,050

7

0

15

394.36

850

16

0

16

423.32

778

3

0

17

712.27

845

17

0

18

289.66

530

2

1

19

881.24

1,090

1

0

20

490.88

1,050

8

0

21

567.79

913

15

1

22

665.99

828

20

0

23

621.45

786

18

1

24

608.8

821

3

0

25

473.64

538

19

1

26

697.14

1,130

21

1

27

207.51

745

8

0

28

288.48

821

7

0

29

284.88

886

11

1

30

280.36

886

11

1

31

217.38

745

8

0

32

270.71

886

11

1

Reference no: EM133035689

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