Osteoporosis is a degenerative disease that primarily affects women over the age of 60. A research analyst wants to forecast sales of StrongBones, a prescription drug for treating this debilitating disease. She uses the model Sales = B0 + B1 Population + B2 Income + ε, where Sales is the sales of Strong Bones (in $1,000,000s), Population is the number of women over the age of 60 (in millions), and Income is the average income of women over the age of 60 (in $1,000s). She collects data on 29 cities across the United States and obtains the following regression results: Intercept Population Income Coefficients 10.15 Standard Error t Stat p-Value 3.13 3.24 0.0071 8.45 1.11 7.61 0.0047 7.45 6.12 1.22 0.3468 a. What is the sample regression equation? Note: Enter your answers in millions rounded to 2 decimal places. Sales = + Population + Income b-1. Interpret the coefficient of population. ○ As the number of women over the age of 60 increases by 1 million, sales of Strong Bones is predicted to increase by $8.45 million. O As the number of women over the age of 60 increases by 1 million, sales of Strong Bones is predicted to increase by $7.45 million. As the number of women over the age of 60 increases by 1 million, sales of Strong Bones is predicted to increase by $8.45 million, holding income constant. O As the number of women over the age of 60 increases by 1 million, sales of Strong Bones is predicted to increase by $7.45 million, holding income constant. b-2. Interpret the coefficient of income. As the average income of women over the age of 60 increases by $1,000, sales of StrongBones is predicted to increase by $8.45 million. ○ As the average income of women over the age of 60 increases by $1,000, sales of Strong Bones is predicted to increase by $7.45 million. ○ As the average income of women over the age of 60 increases by $1,000, sales of StrongBones is predicted to increase by $8.45 million, holding population constant. ○ As the average income of women over the age of 60 increases by $1,000, sales of StrongBones is predicted to increase by $7.45 million, holding population constant. c. Predict sales if a city has 1.6 million women over the age of 60 and their average income is $43,000. Note: Enter your answer in millions rounded to 2 decimal places. Sales =

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Osteoporosis is a degenerative disease that primarily affects women over the age of 60. A research analyst wants to forecast sales of
StrongBones, a prescription drug for treating this debilitating disease. She uses the model Sales = B0 + B1 Population + B2 Income +
ε, where Sales is the sales of Strong Bones (in $1,000,000s), Population is the number of women over the age of 60 (in millions), and
Income is the average income of women over the age of 60 (in $1,000s). She collects data on 29 cities across the United States and
obtains the following regression results:
Intercept
Population
Income
Coefficients
10.15
Standard
Error
t Stat
p-Value
3.13
3.24
0.0071
8.45
1.11
7.61
0.0047
7.45
6.12
1.22
0.3468
a. What is the sample regression equation?
Note: Enter your answers in millions rounded to 2 decimal places.
Sales =
+
Population +
Income
b-1. Interpret the coefficient of population.
○ As the number of women over the age of 60 increases by 1 million, sales of Strong Bones is predicted to increase by $8.45
million.
O As the number of women over the age of 60 increases by 1 million, sales of Strong Bones is predicted to increase by $7.45
million.
As the number of women over the age of 60 increases by 1 million, sales of Strong Bones is predicted to increase by $8.45
million, holding income constant.
O As the number of women over the age of 60 increases by 1 million, sales of Strong Bones is predicted to increase by $7.45
million, holding income constant.
b-2. Interpret the coefficient of income.
As the average income of women over the age of 60 increases by $1,000, sales of StrongBones is predicted to increase by
$8.45 million.
○ As the average income of women over the age of 60 increases by $1,000, sales of Strong Bones is predicted to increase by
$7.45 million.
○ As the average income of women over the age of 60 increases by $1,000, sales of StrongBones is predicted to increase by
$8.45 million, holding population constant.
○ As the average income of women over the age of 60 increases by $1,000, sales of StrongBones is predicted to increase by
$7.45 million, holding population constant.
c. Predict sales if a city has 1.6 million women over the age of 60 and their average income is $43,000.
Note: Enter your answer in millions rounded to 2 decimal places.
Sales =
Transcribed Image Text:Osteoporosis is a degenerative disease that primarily affects women over the age of 60. A research analyst wants to forecast sales of StrongBones, a prescription drug for treating this debilitating disease. She uses the model Sales = B0 + B1 Population + B2 Income + ε, where Sales is the sales of Strong Bones (in $1,000,000s), Population is the number of women over the age of 60 (in millions), and Income is the average income of women over the age of 60 (in $1,000s). She collects data on 29 cities across the United States and obtains the following regression results: Intercept Population Income Coefficients 10.15 Standard Error t Stat p-Value 3.13 3.24 0.0071 8.45 1.11 7.61 0.0047 7.45 6.12 1.22 0.3468 a. What is the sample regression equation? Note: Enter your answers in millions rounded to 2 decimal places. Sales = + Population + Income b-1. Interpret the coefficient of population. ○ As the number of women over the age of 60 increases by 1 million, sales of Strong Bones is predicted to increase by $8.45 million. O As the number of women over the age of 60 increases by 1 million, sales of Strong Bones is predicted to increase by $7.45 million. As the number of women over the age of 60 increases by 1 million, sales of Strong Bones is predicted to increase by $8.45 million, holding income constant. O As the number of women over the age of 60 increases by 1 million, sales of Strong Bones is predicted to increase by $7.45 million, holding income constant. b-2. Interpret the coefficient of income. As the average income of women over the age of 60 increases by $1,000, sales of StrongBones is predicted to increase by $8.45 million. ○ As the average income of women over the age of 60 increases by $1,000, sales of Strong Bones is predicted to increase by $7.45 million. ○ As the average income of women over the age of 60 increases by $1,000, sales of StrongBones is predicted to increase by $8.45 million, holding population constant. ○ As the average income of women over the age of 60 increases by $1,000, sales of StrongBones is predicted to increase by $7.45 million, holding population constant. c. Predict sales if a city has 1.6 million women over the age of 60 and their average income is $43,000. Note: Enter your answer in millions rounded to 2 decimal places. Sales =
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