(a) Forecast the demand for K10 when the tempera- ture is 70°F (b) What is the demand for a temperature of 80°F? (c) What is the demand for a temperature of 90°F? :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: GUITAR YouTube SALES VIEWS (1,000s) 30 40 11 70 12 60 10 80 15 50 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. 4-11 Using the data in Problem 4-10, test to see if there is tatictinn11 cimifionnt ra1ntionhin haturaan enlar
(a) Forecast the demand for K10 when the tempera- ture is 70°F (b) What is the demand for a temperature of 80°F? (c) What is the demand for a temperature of 90°F? :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: GUITAR YouTube SALES VIEWS (1,000s) 30 40 11 70 12 60 10 80 15 50 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. 4-11 Using the data in Problem 4-10, test to see if there is tatictinn11 cimifionnt ra1ntionhin haturaan enlar
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question
Only question c I cannot figure it out

Transcribed Image Text:(a) Forecast the demand for K10 when the tempera-
ture is 70°F
(b) What is the demand for a temperature of 80°F?
(c) What is the demand for a temperature of 90°F?
: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:
GUITAR
YouTube
SALES
VIEWS (1,000s)
30
40
11
70
12
60
10
80
15
50
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.
4-11 Using the data in Problem 4-10, test to see if there is
tatictinn11 cimifionnt ra1ntionhin haturaan enlar
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