The operations manager of a musical instrument distributor feels that demand for a particular type of guitar may be related to the number of YouTube views for a music video by the popular rock group Marble Pumpkins during the preceding month. The manager has collected the data shown in the following table: YouTube VIEWS (1,000s) 30 40 70 60 80 50 GUITAR SALES 8 11 12 10 15 13 a. Graph these data to see whether a linear equation might describe the relationship between the views on YouTube and guitar sales. b. Using the equations presented in this chapter, compute the SST, SSE, and SSR. Find the least-squares regression line for these data. c. Using the regression equation, predict guitar sales if there were 40,000 views last month.

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The operations manager of a musical instrument distributor feels that demand for a particular
type of guitar may be related to the number of YouTube views for a music video by the popular
rock group Marble Pumpkins during the preceding month. The manager has collected the data
shown in the following table:
YouTube VIEWS (1,000s)
30
40
70
60
80
50
GUITAR SALES
8
11
12
10
15
13
a. Graph these data to see whether a linear equation might describe the relationship
between the views on YouTube and guitar sales.
b. Using the equations presented in this chapter, compute the SST, SSE, and SSR. Find
the least-squares regression line for these data.
c. Using the regression equation, predict guitar sales if there were 40,000 views last
month.
Transcribed Image Text:The operations manager of a musical instrument distributor feels that demand for a particular type of guitar may be related to the number of YouTube views for a music video by the popular rock group Marble Pumpkins during the preceding month. The manager has collected the data shown in the following table: YouTube VIEWS (1,000s) 30 40 70 60 80 50 GUITAR SALES 8 11 12 10 15 13 a. Graph these data to see whether a linear equation might describe the relationship between the views on YouTube and guitar sales. b. Using the equations presented in this chapter, compute the SST, SSE, and SSR. Find the least-squares regression line for these data. c. Using the regression equation, predict guitar sales if there were 40,000 views last month.
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