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For the data below, the regression model Y = 19.4340 +0.1068X, +0.0012X, uses sales (in thousands of dollars) and the number of orders received to predict distribution cost (in thousands of dollars). Develop an distribution 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 X. What are the null and alternative hypotheses for this test? Data table OA Ho: P3 =0 H,: B3 <0 OC. Ho: P3 =0 H,: B3 >0 B. Ho: P3 =0 Cost 74.51 71.42 Sales Orders OD. Ho: P3 20 H: B3 <0 352 3259 451 4982 82.05 OE Ho: P3 #0 H,: B3 =0 OF. Ho: P3 s0 H,: B3 >0 64.72 66.39 83.69 508 399 457 5311 4271 4089 516 5230 57.43 354 496 439 548 What is the p-value for this test? 2927 77.73 4587 p-value = (Round to three decimal places as needed.) 61.17 3451 !! 87.91 3750

For the data below, the regression model Y = 19.4340 +0.1068X, +0.0012X, uses sales (in thousands of dollars) and the number of orders received to predict distribution cost (in thousands of dollars). Develop an distribution 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 X. What are the null and alternative hypotheses for this test? Data table OA Ho: P3 =0 H,: B3 <0 OC. Ho: P3 =0 H,: B3 >0 B. Ho: P3 =0 Cost 74.51 71.42 Sales Orders OD. Ho: P3 20 H: B3 <0 352 3259 451 4982 82.05 OE Ho: P3 #0 H,: B3 =0 OF. Ho: P3 s0 H,: B3 >0 64.72 66.39 83.69 508 399 457 5311 4271 4089 516 5230 57.43 354 496 439 548 What is the p-value for this test? 2927 77.73 4587 p-value = (Round to three decimal places as needed.) 61.17 3451 !! 87.91 3750

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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 predict distribution 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? - X Data table O A. Ho: Ba = 0 VB. Ho: Ba =0 H,: B3 <0 H,: B3 #0 Cost Sales Orders OC. Ho: B3 = 0 H,: B3 >0 O D. Ho: B3 20 H: Bg < 0 74.51 352 3259 4982 451 508 71.42 82.05 5311 OE. Ho: P3 #0 H,: B3 = 0 OF. Ho: Ba s0 64.72 66.39 399 4271 H: B3 >0 457 4089 83.69 516 5230 2927 What is the p-value for this test? 57.43 354 77.73 61.17 496 439 4587 p-value = (Round to three decimal places as needed.) 3451 %3D 87.91 548 3750 Print Done
Transcribed Image Text: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 predict distribution 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? - X Data table O A. Ho: Ba = 0 VB. Ho: Ba =0 H,: B3 <0 H,: B3 #0 Cost Sales Orders OC. Ho: B3 = 0 H,: B3 >0 O D. Ho: B3 20 H: Bg < 0 74.51 352 3259 4982 451 508 71.42 82.05 5311 OE. Ho: P3 #0 H,: B3 = 0 OF. Ho: Ba s0 64.72 66.39 399 4271 H: B3 >0 457 4089 83.69 516 5230 2927 What is the p-value for this test? 57.43 354 77.73 61.17 496 439 4587 p-value = (Round to three decimal places as needed.) 3451 %3D 87.91 548 3750 Print Done
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