Variables Entered (Constant) X6 Product Quality X7 E-Commerce X8 Technical Support x9 Complaint Resolution X10 Advertising...

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Variables Entered (Constant) X6 Product Quality X7 E-Commerce X8 Technical Support x9 Complaint Resolution X10 Advertising X11 Product Line X12 Salesforce Image X13 Competitive Pricing X14 Warranty & Claims X15 New Products X16 Order & Billing X17 Price Flexibility X18 Delivery Speed Regression Coefficients Std. B error -1.336 1.120 .377 .053 -456 .137 035 .065 154 -.034 .362 827 -.047 Variables entered into the Regression Model Statistical Significance -104 .063 267 101 048 -107 126 -.003 143 .040 105 272 238 -249 -514 Table 1c Beta t Sig. -1.192 236 7.161 .000 442 -268 -3.341 .001 045 542 589 .156 1.489 -.033 -548 585 178 .744 8.155 .000 400 1.359 -062-985 .328 Correlations -004-074 Zero- order Partial Part 486 283 .113 .058 .026 611 342 .598 -339 -.160 .354 .328 Collinearity Statistics 140 .603 159 071 .305 -.059 -.026 551 145 .065 026 500 .660 389 274 -208 -.106 Tolerance -.047 207 .646 584 .306 .930 178 -.092 -.041 .071 -.008 -,004 -074 -852 .397 .941 111 1.369 175 .522 146 241 873 .385 .056 094 .042 154 -485 .629 577 -.052 -.023 023 .065 344 .030 VIF 1.672 2.823 3.047 4.838 1.547 37.978 3.654 1.712 3.268 1.075 2.909 33.332 44.004 c) Three correlation methods were used as aid to evaluate the estimation process and their results are presented in Table 1c, describe individual purposes with regard to the model. d) Is there presence of multicollinearity in the model? Explain. e) Which variables are significant in the model? Explain. (5) (5) Variables Entered (Constant) X6 Product Quality X7 E-Commerce X8 Technical Support x9 Complaint Resolution X10 Advertising X11 Product Line X12 Salesforce Image X13 Competitive Pricing X14 Warranty & Claims X15 New Products X16 Order & Billing X17 Price Flexibility X18 Delivery Speed Regression Coefficients Std. B error -1.336 1.120 .377 .053 -456 .137 035 .065 154 -.034 .362 827 -.047 Variables entered into the Regression Model Statistical Significance -104 .063 267 101 048 -107 126 -.003 143 .040 105 272 238 -249 -514 Table 1c Beta t Sig. -1.192 236 7.161 .000 442 -268 -3.341 .001 045 542 589 .156 1.489 -.033 -548 585 178 .744 8.155 .000 400 1.359 -062-985 .328 Correlations -004-074 Zero- order Partial Part 486 283 .113 .058 .026 611 342 .598 -339 -.160 .354 .328 Collinearity Statistics 140 .603 159 071 .305 -.059 -.026 551 145 .065 026 500 .660 389 274 -208 -.106 Tolerance -.047 207 .646 584 .306 .930 178 -.092 -.041 .071 -.008 -,004 -074 -852 .397 .941 111 1.369 175 .522 146 241 873 .385 .056 094 .042 154 -485 .629 577 -.052 -.023 023 .065 344 .030 VIF 1.672 2.823 3.047 4.838 1.547 37.978 3.654 1.712 3.268 1.075 2.909 33.332 44.004 c) Three correlation methods were used as aid to evaluate the estimation process and their results are presented in Table 1c, describe individual purposes with regard to the model. d) Is there presence of multicollinearity in the model? Explain. e) Which variables are significant in the model? Explain. (5) (5)