Suppose that a term in a logistic regression equation is 0 687 MallTrips, as in Figure 17 17 Explain, exactly what this means Figure 17 17 8 Logistic Regression for Have Tried Yes 9 Summary Measures This is the output from using all explanatory variables You can run the logistic regression again, deleting variables with high p values, but the basic results don't change substantially 10 Null Deviance 1165 604813 11 Model Deviance 687 9428839 12 Improvement 13 p Value 477 6619292 0 0001 14 15 Standard Wald Lower Upper Exp(Coef) Coefficient p Value 16 Regression Coefficients Value Error Limit Limit 17 Constant 0 909698289 0 0052 0 757579042 2 540587689 2 79278055 4 323596336 0 078820065 18 Age 0 069688555 0 010808445 0 090873108 0 048504003 6 447602252 0 0001 0 932684254 19 Weight 0 007033414 0 014578691 0 003849631 1 82703581 0 0677 0 000511863 1 007058206 20 Income 4 76283E 06 0 2076 2 64471E 06 3 77935E 06 1 260222403 1 21704E 05 1 000004763 21 Car Value 0 1911 2 04171E 05 1 307318278 6 67092E 05 0 999973309 2 66917E 05 1 33259E 05 22 ICC Debt 0 852024709 0 3942 0 000101272 0 000257027 1 00007788 7 78774E 05 9 14027E 05 23 Mall Trips 1 987754476 0 687005598 0 0001 0 569867539 0 804143656 0 059764316 11 49524745 24 Pay Type Salaried 6 032913283 0 0001 0 899758382 1 765736273 0 220912727 3 791445433 1 332747327 25 Gender Male 0 191544317 0 1822 0 630969333 0 255542473 1 334116706 0 119884388 1 291161851 26 Live Alone Yes 1 322630127 0 283886309 0 0001 1 879047292 4 659013441 0 766212962 3 75328001 27 Dwell Type Condo 28 Dwell Type Home 0 7686 0 080928114 0 275087202 0 294190764 0 922259987 0 620099029 0 458242801 0 248863714 0 710114914 0 176721835 0 4776 0 311051044 0 664494713 1 193299112

Question: Suppose that a term in a logistic regression equation is 0.687*MallTrips, as in Figure 17.17. Explain, exactly what this means. Figure 17.17 8 Logistic Regression

Suppose that a term in a logistic regression equation is 0.687*MallTrips, as in Figure 17.17. Explain, exactly what this means.

Figure 17.17

8 Logistic Regression for Have Tried Yes 9 Summary Measures This is the output from using all explanatory variables. You can run the logistic regression again, deleting variables with high p-values, but the basic results don't change substantially. 10 Null Deviance 1165.604813 11 Model Deviance 687.9428839 12 Improvement 13 p-Value 477.6619292

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