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or474.sec8 - Building a Logistic Regression Model in SAS EM...

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Unformatted text preview: Building a Logistic Regression Model in SAS EM October 27, 2003 The Data and the Task We will use the same data set, myraw.xls , as was used in a few earlier recitations. Recall that this data set was extracted from a larger data set maintained by a national veteran’s organization on people who have made charitable donations to them in the past. The organization has just finished a new fundraising campaign specifically targeting previous donors, and they want an analysis of the results. In one of the earlier recitations we used a linear regression model to predict the amount a donor contributed (assuming that the donor did contribute to the campaign) based on database information about that donor. In this recitation, we will use the data to predict whether or not someone donated to the most recent campaign using a logistic regression model. As before, the data set is an Excel spreadsheet for which each row represents a past donor (an observation) and each column represents a category of information about the donor (a variable). The meanings of the variables are reprinted below: Variable Name Role Type Description AGE Input Interval Age AVGGIFT Input Interval Average dollar amount of gifts to date CARDGIFT Input Interval Number of lifetime gifts to card promotions CARDPROM Input Interval Lifetime number of card promotions received FEDGOV Input Interval % of household employed by federal government FIRSTT Input Interval Elapsed time since first donation GENDER Input Binary F = female, M = male HOMEOWNR Input Binary H = homeowner, U = unknown IDCODE ID Nominal ID code, unique for each person INCOME Input Ordinal Household income level (integers 0-9) LASTT Input Interval Elapsed time since last donation LOCALGOV Input Interval % of household in local government MALEMILI Input Interval % of household males active in the military MALEVET Input Interval % of household male veterans NUMPROM Input Interval Lifetime number of promotions received to date PCOWNERS Input Binary Y = donor owns computer (missing otherwise) PETS Input Binary Y = donor owns pets (missing otherwise) STATEGOV Input Interval % of household in state government TARGET B Target Binary 1 = gave to new campaign, 0 = did not TARGET D Target Interval Dollar amount of contribution to new campaign TIMELAG Input Interval Number of months between first and second gift The data set contains 2,988 observations, and we will make use of all of them....
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This note was uploaded on 02/06/2011 for the course ORIE 474 taught by Professor Apanasovich during the Spring '07 term at Cornell.

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or474.sec8 - Building a Logistic Regression Model in SAS EM...

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