+ 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 Bo B1 Population +2Income + where Sales refers to the sales of StrongBones (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 36 cities across the United States and obtains the following regression results: Standard Error 3.97 Intercept Population Income Coefficients 10.09 t Stat p-Value 2.54 0.0218 8.34 1.34 6.22 0.0084 7.30 6.23 1.17 0.3626 a. What is the sample regression equation? (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 StrongBones is predicted to increase by $8.34 million. As the number of women over the age of 60 increases by 1 million, sales of StrongBones is predicted to increase by $7.30 million. As the number of women over the age of 60 Increases by 1 million, sales of StrongBones is predicted to increase by $8.34