Regression Statistics Multiple R 0.99 R Square 0.98 Adjusted R Square 0.97 Standard Error 2.52 Observations 35 Coefficients Standard Error Intercept 131.92 17.76 7.43 t Stat P-value 0.00 Lower 95% Upper 95% 97.11 166.73 Price of Good -746 1.18 -6.34 0.00 -9.86 -5.06 Price of Related Good Income 10.24 0.30 0.97 0.10 10.60 0.00 8.27 12.21 3.00 0.011 0.10 0.50 The demand for your product demands on three factors; the price of your good, the price of a related good, and the average income of your customers. Excel estimated the above linear demand for your product Which of the following statements is true? OA The R indicates that the regression predicts the data very poorly OB. All of the variables included in the regression affect the demand for your product. OC. None of the variables included in the regression affect the demand for your product OD. Increases in the price of your good lead to increases in the quantity demanded of your good