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Contribution - Angela Angulo Paul Koppel Kendall Pelander...

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Angela Angulo Paul Koppel Kendall Pelander Libby Pirinis Customer Lifetime Value Exercise 1) Customer Asset Value Estimation Summary of Fit RSquare 0.627752 RSquare Adj 0.626702 Root Mean Square Error 41.23985 Mean of Response 32.09843 Observations (or Sum Wgts) 712 Parameter Estimates Term Estimate Std Error t Ratio Prob>|t| Intercept -33.28638 2.597165 -12.82 <.0001* Most recent contribution $ 3.3966527 0.202864 16.74 <.0001* number solicitations 4.0664956 0.150986 26.93 <.0001* Summary of Fit RSquare 0.742695 RSquare Adj 0.741969 Root Mean Square Error 34.28666 Mean of Response 32.09843 Observations (or Sum Wgts) 712 Parameter Estimates Term Estimate Std Error t Ratio Prob>|t| Intercept 790.39993 33.63405 23.50 <.0001* datefirst -0.086552 0.003591 -24.10 <.0001* largest contribution 3.7290276 0.129374 28.82 <.0001* Since R Square is high for both our regressions and the p value for all attributes are low, we can determine that these attributes are significant to determining the lifetime contribution. Summary of Fit RSquare 0.754839 RSquare Adj 0.753452 Root Mean Square Error 33.51503 Mean of Response 32.09843 Observations (or Sum Wgts) 712
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Parameter Estimates Term Estimate Std Error t Ratio Prob>|t| Intercept -83.13911 176.6956 -0.47 0.6381 datefirst 0.0055317 0.018575 0.30 0.7659 number solicitations 3.3555604 0.681906 4.92 <.0001* Most recent contribution $ -0.935016 0.280147 -3.34 0.0009* largest contribution 4.1599542
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Contribution - Angela Angulo Paul Koppel Kendall Pelander...

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