Osteoporosis is a degenerative disease that primarily affects women over the age of 47. A research analyst wants to forecast sales of StrongBones, a prescription drug for treating this debilitating disease. She uses the model Sales = β0 + β1Pop + β2Inc + ε, where Sales refers to the sales of StrongBones ($ millions), Pop is the number of women over the age of 47 (in millions), and Inc is the average income of women over the age of 47 ($1,000s). She collects data on 32 cities across the United States and obtains the following relevant regression results: CoefficientsStandard Errort Statp-value Intercept10.23 3.12 3.28 0.0055 Population8.40 1.21 6.94 0.0061 Income7.23 6.23 1.16 0.3658 a.What is the sample regression equation? (Enter your answers in millions rounded to 2 decimal places.) 1formula26.mml + Population + Income. b.Interpret the coefficient of population. As the number of women over the age of 47 increases by 1 million, sales of StrongBones is predicted to increase by $8.40 million. As the number of women over the age of 47 increases by 1 million, sales of StrongBones is predicted to increase by $7.23 million, holding income constant. As the number of women over the age of 47 increases by 1 million, sales of StrongBones is predicted to increase by $8.40 million, holding income constant. As the number of women over the age of 47 increases by 1 million, sales of StrongBones is predicted to increase by $7.23 million.