Marketing Management

What happens if the chi-square distance matrix contains values that are non-significant (that is they reflect low associations)? And if some of the cells in the contingency table have zero or very low frequencies?

Open the EFS data-set

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a. Estimate a binary logistic regression where the possession of a computer (a1661) is related to income (incanon), age of the household reference person (p396) and household size (a049)

b. Which of the variables is the most important in predicting computer possession?

c. How many cases are correctly predicted by the model?

d. Estimate the model with ordinary linear regression and compare the results

e. Estimate the model with a probit regression and compare the results

f. Replicate the results using the generalized linear model g. Include NS-SEC 8 Class of Household Reference Person (a094) as a categorical predictor and the interaction between age and income. Do results improve?

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