Family Sales in Period Income Pesos (millions) (thousands) 1 20 600 2 30 800 3 25 1,100 4 28 1,600 5 31 1,800 Consider the problem. As part of the operations team, the following are required to be answered: 1-2. What is the independent variable in the problem? a. family income 3-5. What is the correlation coefficient between the two variables? b. sales in peso c. period d. either a or b C. -0.56 d. -0.66 a. 0.56 6-7. What is the extent of relationship between the two variables? a. low b. 0.66 b. moderate c. high d. very high Q. 10 What is +he regression eguation in this case?

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
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Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 13PPS
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Question
Family
Sales in
Period
Income
Pesos
(millions)
(thousands)
600
1
20
2
30
800
3
25
1,100
28
1,600
1,800
31
Consider the problem. As part of the operations team, the following are required to be answered:
1- 2. What is the independent variable in the problem?
a. family income
3 -5. What is the correlation coefficient between the two variables?
b. sales in peso
c. period
d. either a or b
b. 0.66
a. 0.56
6-7. What is the extent of relationship between the two variables?
a. low
8- 10. What is the regression equation in this case?
a. y = -853.81 + 85.89x b. y = -853.81 + 75.89x c. y = 853.81 + 85.89x
11 - 15. If family income for years 6 will be 35 million what would be the expected sales?
a. 1878.23
C. -0.56
d. -0.66
b. moderate
c. high
d. very high
d. y = 853.81 + 75.89x
b. 2152.34
c. 3859.96
d. 3509.96
Transcribed Image Text:Family Sales in Period Income Pesos (millions) (thousands) 600 1 20 2 30 800 3 25 1,100 28 1,600 1,800 31 Consider the problem. As part of the operations team, the following are required to be answered: 1- 2. What is the independent variable in the problem? a. family income 3 -5. What is the correlation coefficient between the two variables? b. sales in peso c. period d. either a or b b. 0.66 a. 0.56 6-7. What is the extent of relationship between the two variables? a. low 8- 10. What is the regression equation in this case? a. y = -853.81 + 85.89x b. y = -853.81 + 75.89x c. y = 853.81 + 85.89x 11 - 15. If family income for years 6 will be 35 million what would be the expected sales? a. 1878.23 C. -0.56 d. -0.66 b. moderate c. high d. very high d. y = 853.81 + 75.89x b. 2152.34 c. 3859.96 d. 3509.96
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