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 Be B1Population + B2Income + where Sales refers to the sales of StrongBones (in $ millions), 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 38 cities across the United States and obtains the following regression results: Intercept Population Income Coefficients 10.35 Standard Error 4.02 t Stat 2.57 8.47 2.71 3.12 7.62 6.63 1.15 p-Value 0.0199 0.0062 0.2661 a. What is the sample regression equation? (Enter your answers in millions rounded to 2 decimal places.) Predicted 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 StrongBones is predicted to increase by $8.47 million. As the number of women over the age of 60 increases by 1 million, sales of StrongBones is predicted to increase by $7.62 million. As the number of women over the age of 60 increases by 1 million, sales of StrongBones is predicted to increase by $8.47 million, holding income constant. As the number of women over the age of 60 increases by 1 million, sales of StrongBones is predicted to increase by $7.62 million, holding income constant b-2. Interpret the coefficient of income. b-1. Interpret the coefficient of population. As the number of women over the age of 60 increases by 1 million, sales of StrongBones is predicted to increase by $8.47 million. As the number of women over the age of 60 increases by 1 million, sales of StrongBones is predicted to increase by $7.62 million. As the number of women over the age of 60 Increases by 1 million, sales of StrongBones is predicted to increase by $8.47 million, holding income constant. As the number of women over the age of 60 increases by 1 million, sales of StrongBones is predicted to increase by $7.62 million, holding income constant. b-2. Interpret the coefficient of income. As the average income of women over the age of 60 increases by $1000, sales of StrongBones is predicted to increase by $7.62 million. As the average income of women over the age of 60 increases by $1000, sales of StrongBones is predicted to increase by $8.47 million. As the average income of women over the age of 60 increases by $1000, sales of StrongBones is predicted to increase by $7.62 million, holding population constant. As the average income of women over the age of 60 Increases by $1000, sales of StrongBones is predicted to increase by $8.47 million, holding population constant. c. Predict Sales if a city has 1.5 million women over the age of 60 and their average income is $44,000. (Enter your answer in millions rounded to 2 decimal places.) Predicted Sales