A multiple linear regression analysis was carried out using the following data for 48 months of sales of ski equipment for a US company. Y = Sales (in millions of dollars). X1 = Advertising expenditure (in millions of dollars) X2 = 1 if the month is in the high season = 0 if the month is not in the high season X3 = X1 X2 The results of a regression analysis used to predict sales are as follows: \\ U 1. Prediction equation: Y = 50 + 1.20 X1 + 20X2 + 0.6X3 2. The F test is statistically signicant. 3. The three T tests are statistically signicant. Suppose the budget in advertising increases by 10 million dollars. What is the predicted increase in sales in the high season? 0 $6 million. O $12 million. O $18 million. 0 $20 million. 0 $26 million