Osteoporosis is a degenerative disease that primarily affects women over the age of 60. A research analyst wants to forecast sales or StrongBones, a prescription drug for treating this debilitating disease. She uses the model Sales = + Bi PopulationIn cone+ where Sales refers to the sales of StrongBones fin S1000,000s). 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 27 cities across the United States and obtains the following regression results: Intercept Population Incone Coefficient 10.06 8.40 7.49 Standard Error 3.90 1.41 6.26 Stat Value 2.58 0.0256 5.98 0.0094 1.20 8.3530 a. What is the sample regression equation? (Enter your answers in millions rounded to 2 decimal places.) Sales Populi income 5-1. 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 $8.44 million As the number of women over the age of 60 increases by million sales of Strong Bones is predicted to increase by $7.49 million As the number of women over the age of 60 increases by 1 million soles of StrongBones is predicted to increase by $8.44 million holding income constant As the number of women over the age of 60 increases by 1 million, sales of Strong Bones is predicted to increase by $749 million holding income constant b-2. Interpret the coeficient of income