Business statistic

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BUS 210

1.

The plant manager wants to establish the relationship between the number of line shutdowns (x) and the number of delivery deadlines missed (y). Below is the data collected from the last six months:

SST

 

SSE

SSR

x

y

 

 

 

 

 

 

 

 

3

83

-2

18

-36

4

324

80.08

8.53

227.41

4

74

-1

9

-9

1

81

72.54

2.13

56.85

7

48

2

-17

-34

4

289

49.92

3.69

227.41

2

84

-3

19

-57

9

361

87.62

13.10

511.66

6

59

1

-6

-6

1

36

57.46

2.37

56.85

8

42

3

-23

-69

9

529

42.38

0.14

511.66

totals

30

390

0

0

-211

28

1620

29.96

1591.84

means

5

65

b1 =

Coefficient of Determination =

bo =

Regression equation is

2.

In multiple regression, the following regression equation is obtained:

y = -8 + 2.6x - 47.2w

Predict y if x = 30 and w = -10

3. As a car salesperson, you must predict the selling price of your used cars. You calculate a regression line with the dependent variable being the price and the independent variable being the mileage of the vehicle. You use a statistical software package that reports that your SSE is 22 and your SST is 40.

What is your coefficient of determination?

What could you do to improve your regression equation?