## Question

###### A New York City orange juice wholesaler is trying to link orange juice demand to how long a sale for orange juice has been going on. The wholesaler collect daily data that included the demand (in number of cases of OJ) and the number of days that a sale has been going on (Days) The quadratic model E(Y) = Bo+B1x+Bzx? was fit and the Statistix printout is shown below:Least Squares Linear Regression of DemandPredictor Variables Constant Day DaySqCoefficient 4944.22 -183.029 7 . 46292Std Error 829.6

A New York City orange juice wholesaler is trying to link orange juice demand to how long a sale for orange juice has been going on. The wholesaler collect daily data that included the demand (in number of cases of OJ) and the number of days that a sale has been going on (Days) The quadratic model E(Y) = Bo+B1x+Bzx? was fit and the Statistix printout is shown below: Least Squares Linear Regression of Demand Predictor Variables Constant Day DaySq Coefficient 4944.22 -183.029 7 . 46292 Std Error 829.601 93.3186 2.20728 VIF 5.96 -1.96 3.38 0.0000 0.0574 0.0017 16 _ 16.8 Rz Adjusted Rz AICc PRESS 0.5232 0.4974 599.30 1.17E+08 Mean Square Error (MSE) 2763016 Standard Deviation 1662.23 Source Regression Residual Total DF SS 1.122E+08 1.022E+08 2.144E+08 MS 5.608E+07 2763016 20.30 0.0000 37 39 Cases Included 40 Missing Cases Fill in the blanks to the following statement: We can explain of the variation in the sampled using the quadratic relationship provided by this model: 52.32%; demand values 49.74%; day values 33.24%; demand values 1662; demand values