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Question 15 4 pts 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+B2x2 was fit and the Statistix printout is shown below: Least Squares Linear Regression of Demand Predictor Variables Coefficient Std Error VIF Constant 4944.22 829.601 5.96 0.0090 Day -183.029 93. 3186 1,96 0.0574 16.2 DaySq 7.46292 2. 20728 3.38 0. 0917 16. R2 0.5232 Mean Square Error (MSE) 2763016 Adjusted R 0.4974 Standard Deviation 1662.23 AICC 599 .30 PRESS 1.175+08 Source ISS MS Regression 1. 122E+08 5.608E+07 20 .30 0.0000 Residual 37 1. 022E+08 2763016 Total 20 2. 144E+08 Cases Included 40 Missing Cases 0 Predicted/Fitted Values of Demand Lower Predicted Bound 414.61 Lower Fitted Bound 3133.0 Predicted Value 3860.2 Fitted Value 3860.2 Upper Predicted Bound 7305.8 Upper Fitted Bound 4587.4 SE (Predicted Value) 1700.5 SE (Fitted Value) 358.89 Unusualness (Leverage) 0.0466 Percent Coverage 95 Corresponding T 2.03 Predictor Values: Day=10.000, DaySq=100.00 Which of the following interpretations from the the Predicted/Fitted Values of Demand printout is correct? All answers begin with "We are 95% confident that...." the demand for a single day when Day=10 will fall between 414.6 and 7,305.8 cases of OJ. the average demand for all days when Day=10 will fall between 414.6 and 7,305.8 cases of OJ. the demand for a single day when Day-10 will fall between 3,133.0 and 4,587.4 cases of OJ. the average demand for all days will fall between 3,133.0 and 4,587.4 cases of OJ