M9-Question 1:
Reynolds Inc. is a manufacturer of industrial scales and laboratory equipment. Managers
At Reynolds want to investigate the relationship between length of employment of their salespeople and the number of
electronic laboratory scales sold. There are 15 salespeople who were randomly selected for this investigation.
M9-Question 2:
yler Personal Care conducted a regression study for one of its new shampoo products. The two factors believed to have
the most influence on sales are unit selling price ad advertising expenditure.
o investigate the effects of these two variables on sales, prices of $2.00, $2.50, and $3.00 were paired with advertising
expenditures of $50,000 and $100,000 in 24 test markets.
M9-Question 3:
AnexExpress, a major credit card company, has a very large database of information provided b its customers when they apply
for credit cards. These customer records include information on the customeràannual household income, number of years of
post-high school education, and number of the customeràhousehold. The company also has records of the credit card charges
accrued by each customer over the past year.
AnexExpress wants to predict the credit card charges that will be accrued by these applicants by using annual household income
($1000 as a unit), the number of years of post-high school education, and the number of the customeràhousehold reported by
new applications. The company randomly selected 3,000 customers as a sample.
M9-1
Dependent Variable
Independent Variable
Observations
Intercept coefficient
Independent variable
coefficient
Regression Model
R-square
Adjusted R-square
Intercept P-value
Independent variable Pvalue
Your Interpretations
and Analyses
M9-2
Dependent Variable
Independent Variable 1
Independent Variable 2
Independent Variable 3
Observations
Intercept coefficient
Coefficient of
Independent variable 1
Coefficient of
Independent variable 2
Coefficient of
Independent variable 3
Regression Model
R-square
Adjusted R-square
Intercept P-value
P-value of Independent
variable 1
P-value of Independent
variable 2
P-value of Independent
variable 3
Your Interpretations
and Analyses
M9-3
Dependent Variable
Independent Variable 1
Independent Variable 2
Independent Variable 3
Observations
Intercept coefficient
Coefficient of
Independent variable 1
Coefficient of
Independent variable 2
Coefficient of
Independent variable 3
Regression Model
R-square
Adjusted R-square
Intercept P-value
P-value of Independent
variable 1
P-value of Independent
variable 2
P-value of Independent
variable 3
Your Interpretations
and Analyses

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