Computing a linear regression equation

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Reference no: EM1313948

Estimating a linear regression equation to predict the future values of the dependent variable Y.

A CEO of a large pharmaceutical company would like to determine if he should be placing more money allotted in the budget next year for television advertising of a new drug marketed for controlling asthma. He wonders whether there is a strong relationship between the amount of money spent on television advertising for this new drug called XBC and the number of orders received. The manufacturing process of this drug is very difficult and requires stability so the CEO would prefer to generate a stable number of orders. The cost of advertising is always an important consideration in the phase I roll-out of a new drug. Data that have been collected over the past 20 months indicate the amount of money spent of television advertising and the number of orders received.

The use of linear regression is a critical tool for a manager's decision-making ability. Please carefully read the example below and try to answer the questions in terms of the problem context. The results are as follows:

Month

Advertising Cost (thousands of dollars)

Number of Orders

1

$58.93

4,102,000

2

70.62

3,893,000

3

79.58

5,299,000

4

58.67

4,130,000

5

69.18

4,367,000

6

70.14

4,111,000

7

73.37

3,923,000

8

68.88

4,935,000

9

82.99

5,276,000

10

75.23

4,654,000

11

81.38

4,398,000

12

52.90

2,967,000

13

61.27

3,999,000

14

79.19

4,345,000

15

60.03

3,934,000

16

78.21

4,653,000

17

83.77

5,625,000

18

62.53

3,978,000

19

88.76

4,999,000

20

72.64

5,834,000

a. Set up a scatter diagram and calculate the associated correlation coefficient. Discuss how strong you think the relationship is between the amounts of money spent on television advertising and the number of orders received. Please use the Correlation procedures within Excel under Tools > Data Analysis.The

NOTE: If you do not have the Data Analysis option under Tools you must install it. You need to go to Tools select Add-ins and then choose the 2 data toolpak options. The original Excel CD will be required for this installation. It should take about a minute.

b. Assuming there is a statistically significant relationship, use the least squares method to find the regression equation to predict the advertising costs based on the number of orders received. Please use the regression procedure within Excel under Tools > Data Analysis to construct this equation.

c. Interpret the meaning of the slope, b1, in the regression equation.

d. Predict the monthly advertising cost when the number of orders is 4,999,000. (Hint: Be very careful with assigning the dependent variable for this problem)

e. Compute the coefficient of determination, r2, and interpret its meaning.

Reference no: EM1313948

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