Team sales personnel think that merchandise sales at their upcoming sporting event could be related to ticket sales. Below is the data from past home games for a regression analysis: Merchandise Sales ($10,000s) Tickets Sold (1000s) 15 54 17 67 10 53 9 49 16 59 14 58 12 56 19 63 18 65 17 61 What is the regression equation?  Use the model to forecast merchandise sales if there are 58,000 tickets sold.  Is the model statistically significant at the .05 level?  How much of the variability in merchandise sales is determined by tickets sold?

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  • Team sales personnel think that merchandise sales at their upcoming sporting event could be related to ticket sales. Below is the data from past home games for a regression analysis:

Merchandise Sales ($10,000s)

Tickets Sold (1000s)

15

54

17

67

10

53

9

49

16

59

14

58

12

56

19

63

18

65

17

61

  1. What is the regression equation? 
  2. Use the model to forecast merchandise sales if there are 58,000 tickets sold. 
  3. Is the model statistically significant at the .05 level? 
  4. How much of the variability in merchandise sales is determined by tickets sold? 
Expert Solution
Step 1

We can use the excel data analysis tool to find the answer to the given question. The steps are as follows:

  • Type the data in excel.
  • Click on Data tab and then click on Data Analysis.
  • Choose the Regression and press ok
  • Then Input Y range will have the "Merchandise Sales ($10,000s)" data
  • Input X range will have the "Tickets Sold (1000s)" data
  • Mark the Labels
  • Choose the output range example cell D1
  • Press Ok.

The excel output is:

 

Probability homework question answer, Step 1, Image 1
Step 2

1. What is the regression equation? 

Answer: From the given output, we have:

Intercept = -16.2229

Slope = 0.5286

Therefore, the regression equation is:

 

Probability homework question answer, Step 2, Image 1
Step 3

2. Use the model to forecast merchandise sales if there are 58,000 tickets sold. 

Answer:

 

Probability homework question answer, Step 3, Image 1
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