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9 20 SUME> xbar => ybar => 21 22 23 24 b=> a=> N (price) (payroll) x2 xy y2 1 $ 2.00 $ 3.00
9 20 SUME> xbar => ybar => 21 22 23 24 b=> a=> N (price) (payroll) x2 xy y2 1 $ 2.00 $ 3.00 $ 2.50 $ 2.00 $ 2.00 $ 3.50 7 Company XYZ renovates old homes, in Oakland, CA. Over time the company has found that its dollar volume of renovation work is dependent on the Broomfield area payroll. Management wants to establish a mathematical relationship to help predict sales using the Least Square Regresson statistical model. Use the historical data to find the model coefficients a and b. If payroll next year is estimated to be $9 billion, then, what would be the estimate of the home sales? LEAST SQUARES METHOD Equations to calculate the regression variables =a+bx 2011 Pearson Education, Inc = xy-nxy 4-20 I
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