Exampl ole District Sales Estimated Regression equation bo, b1 b2 are the least squares estimates of Bo Bl B2. Th nus Y=b+6X1+b2X2 For this example Y=34526+0.4960X1+0.0092X2 Predicted sales are expected to increase by 0.496 gross when the target population increases by one thousand, holding per capita discretionary income constant Predicted sales are expected to increase by 0.0092 gross when per capita discretionary income increase by one dollar, holding population constant Slide 14Slide 14 Example: District Sales • Estimated Regression Equation b0 , b1 , b2 are the least squares estimates of 0 , 1 , 2 . Thus • For this example, – Predicted sales are expected to increase by 0.496 gross when the target population increases by one thousand, holding per capita discretionary income constant. – Predicted sales are expected to increase by 0.0092 gross when per capita discretionary income increase by one dollar, holding population constant. 0 1 1 2 2 Y ˆ = b +b X +b X 1 0092 2 3.4526 0.4960 0. Y ˆ = + X + X