please answer for what is the p value For the data below, the regression model Y, = 19.4340 + 0.1068X, + 0.0012X2, uses sales (in thousands of dollars) and the number of orders received to predict distribution cost (in thousands of dollars). Develop a regression model to predictdistribution cost that includes sales, orders, and the interaction of sales and orders. Complete parts (a) and (b) below.E Click the icon to view the data.a. At the 0.01 level of significance, is there evidence that the interaction term makes a significant contribution to the model?Let the interaction variable be Xa. What are the null and alternative hypotheses for this test?- XData tableO A. Ho: Ba = 0VB. Ho: Ba =0H,: B3 <0H,: B3 #0CostSalesOrdersOC. Ho: B3 = 0H,: B3 >0O D. Ho: B3 20H: Bg < 074.513523259498245150871.4282.055311OE. Ho: P3 #0H,: B3 = 0OF. Ho: Ba s064.7266.393994271H: B3 >0457408983.6951652302927What is the p-value for this test?57.4335477.7361.174964394587p-value = (Round to three decimal places as needed.)3451%3D87.915483750PrintDone

The dependent variable is Cost. The independent variables are Sales and Orders. This is multiple regression model. We have to test whether the interaction term makes a significant contribution to the model or not.EXCEL (Data Analysis) Procedure: Step 1: In EXCEL sheet, enter Cost, Sales, Order and Interaction in different columns. Step 2: In Data, select Data Analysis and choose Regression. Step 3: In Input Variable Y Range: select Cost. Step 4: In Input Variable X Range: select Sales, Order and Interaction. Step 5: Select Lables. Click Ok. EXCEL (Data Analysis) Output:p-value = 0.397. Conclusion: Since p-value (=0.397) > 0.01, then fail to reject the null hypothesis. There is insufficient evidence to conclude that the interaction term makes a significant contribution to the model.