4-10 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 follow- ing 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 equa- tion 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
4-10 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 follow- ing 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 equa- tion 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
Chapter1: Making Economics Decisions
Section: Chapter Questions
Problem 1QTC
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4-10 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 follow-
ing 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 equa-
tion 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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