Variables in the Equation
	B	S.E.	Wald	df	Sig.	Exp(B)
Step 1a	The respondent has children(1)	1.641	.813	4.081	1	.043	5.163
The respondent viewed the advertisement(1)	1.106	.562	3.867	1	.049	3.022
Constant	-2.700	.819	10.859	1	<.001	.067
a. Variable(s) entered on step 1: The respondent has children, The respondent viewed the advertisement.

Based on the table above: Which variables are significant predictors of whether or not the consumer purchased the cereal? Hint: p-value less than .05suggests that the variable is a significant predictor. Now look at the "Exp()" column of the "Variables in the Equation" model (for the 2^nd analysis only.) This column gives the Odds Ratio for each variable. Give the Odds Ratio for each variable and interpret. (Ignore the "Constant" row.)

Based on both of the tables below: What was your initial model? Why is logistic regression necessary? Which variables did you remove and what criteria did you use to make that decision? State p-values appropriately. What was your reduced model? Which variables were significant predictors of whether or not the consumer purchased the cereal? What criteria did you use (state p-values). State the odds ratio of each significant predictor variable and interpret it. Give the results in a non-statistical way. What decisions might be made based on these results? How will the company that hired you to use the results? What concerns did you have about the study? What might you recommend for a future study?

Variables in the Equation
	B	S.E.	Wald	df	Sig.	Exp(B)
Step 1a	Annual income in thousands of dollars	.014	.019	.497	1	.481	1.014
The respondent has children(1)	1.433	.856	2.798	1	.094	4.190
The respondent viewed the advertisement(1)	1.034	.572	3.271	1	.071	2.813
Constant	-3.016	.939	10.308	1	.001	.049
a. Variable(s) entered on step 1: Annual income in thousands of dollars, The respondent has children, The respondent viewed the advertisement.

Variables in the Equation
	B	S.E.	Wald	df	Sig.	Exp(B)
The respondent has children(1)	1.641	.813	4.081	1	.043	5.163
The respondent viewed the advertisement(1)	1.106	.562	3.867	1	.049	3.022
Constant	-2.700	.819	10.859	1	<.001	.067
a. Variable(s) entered on step 1: The respondent has children, The respondent viewed the advertisement.