Consumption of candy was cross-tabulated by Age. The computed Chi-square was lar
ID: 3236494 • Letter: C
Question
Consumption of candy was cross-tabulated by Age. The computed Chi-square was larger then the "critical" Chi-squared. In other words, the significance level was, let’s say=0.000. Therefore, the analyst should conclude that Age is potentially a good segmenting variable: a) True b) False
The Stepwise procedure, available in Analysis of Variance and Linear Regression, will do the following: a) Enter into analysis one independent variable at the time, after removing its impact on all other independent variables b) Adjust the sampling distribution for the number of independent variable after the analysis is performed c) Convert nominal variables into interval ones d) All of the above e) None of the above
In a linear regression model, used for prediction of consumption of candy, among the independent variables you found: Size of Family and Number of Children under 15. This model will suffer from: a) Heteroscedasticity b) Homoscedasticity c) Homogeneity d) Multicolinearity e) Low reliability, as the children grow
Explanation / Answer
(first part) a. True
here the null hypothesis H0:consumption and age are independent and we reject or fail to accept H0. so consumption and age are not independent ultimateley we should conclude that Age is potentially a good segmenting variable is Tue.
second part) e. None of the above
third part) d. multicollinearity,
for dependent variable candy consumption the inpendent variables Size of Family and Number of Children under 15 will be highly corrleated.
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