2023 1 At the 95 level of confidence which of the regression models list the | Assignments Online

1. At the 95% level of confidence, which of the regression models (list the pairs of variables) are significant (list the dependent variables)?2. What are the research findings?3. What is the conclusion and recommendations?MARKETING 345LAB #6Nick SmithJenna WrightBrian Dunker5/2/14TASK #1Variables	Mean Difference	Prob of Sig diff (p-value)	Interpretation of ResultsQ12 (gender) & Q7a (newspaper)	.373	.000	99.9% confident (strong) that there is a significant difference between males and females regarding using the newspaper for information. Q12 (gender) & Q7b (internet)	.116	.096	90.4% confident that there is a difference between males and females regarding the preference of the internet but it is weak. Q12 (gender) & Q7c (phoning in to movie theatre for information)	.471	.000	99.9% confident (strong) that there is a significant difference between males and females regarding the preference of phoning in to the theatre for information.Q12 (gender) & Q7d (television)	.071	.238	76% confident there is a difference between males and females regarding the preference of using the television to find out information but is very weak. Q12 (gender) & Q7e (friends and family)	.090	.140	86% confident that there is a significant difference between males and females regarding using family and friends to find out information but is very weak.Q12 (gender) & Q7f (other)	.071	.207	79% confident that there is a significant difference between males and females regarding the preference of using information from other sources but is extremely weak.TASK #2Model	Regression coefficient	t	Sig.Q5c	.1548	2.4755	.0137Q5d	.2446	2.4207	.0159Q5e	.1551	2.0828	.0378Q7a	-.0363	-.6184	.5366Q7b	.0447	.7053	.4810Q7c	.1411	2.4792	.0135Q9	.0858	1.0269	.3050Q10	-.0301	-.3717	.7103Variables	Model R2	Model F-value	Sig.Q5c	.0136	6.1283	.0137Q5d	.0131	5.8596	.0159Q5e	.0097	4.3380	.0378Q7a	.0009	.3824	.5366Q7b	.0011	.4974	.4810Q7c	.0137	6.1463	.0135Q9	.0024	1.0545	.3050Q10	.0003	.1381	.71031.  	At the 95% level of confidence, which of the regression models     	(list the pairs of variables) are significant (list the dependent variables)?        ______________________________________________________        ______________________________________________________2.  	Interpretation of the regression coefficients:  Use the following table to summarize    	the regression coefficient, b, in each of the 7 regression models.Model	RegressionCoefficent b	t	Sig.of b	Interpretation of theRegression CoefficientbExample:Q3 & Q5b	.244	4.147	.000	A one unit increase in Q5b is associated with a .244 increase in monthly movie attendanceQ3 & Q5c	.1548	2.4755	.0137	A one unit increase in Q5c is associated with a .1548 increase in monthly movie attendanceQ3 & Q5d	.2446	2.4207	.0159	A one unit increase in Q5d is associated with a .2446 increase in monthly movie attendanceQ3 & Q5e	.1551	2.0828	.0378	A one unit increase in Q5e is associated with a .1551 increase in monthly movie attendanceQ3 & Q7a	-.0363	-.6184	.5366	A one unit increase in Q7a is associated with a .0363 decrease in monthly movie attendance, but is NOT significantQ3 & Q7b	.0447	.7053	.4810	A one unit increase in Q7b is associated with a .0447 increase in monthly movie attendance, but is NOT significantQ3 & Q73	.1411	2.4792	.0135	A one unit increase in Q7c is associated with a .1411 increase in monthly movie attendance Q3 & Q9	.0858	1.0269	.3050	A one unit increase in Q9 is associated with a .0858 increase in  monthly movie attendance, but is NOT significantQ3 &Q10	-.0301	-.3717	.7103	A one unit increase in Q10 is associated with a .0301 decrease in monthly movie attendance but is NOT significantNOTE: The values in the table are for illustration purposes only.3.  	Using the regression results, compute Y(Q3) if Q5d = 4.                Y= .2446x + .6796                                                                                                                   Y = .2446(4) + .6796                                                                                                                   Y= .9784 + .6796                                                                                                                   Y= 1.658                                                                   	4.  	Using the regression results, compute Y(Q3)if Q7c = 2.                Y= .1411x + 1.1881                   	                                                                                            	Y= .1411(2) + 1.1881                                                                                                                   Y= .2822 + 1.1881                                                                                                                   Y= 1.47035.  	Using the regression results, compute Y(Q3) if Q9 = 3.                 Y=.0858x + 1.2918                                                                                                                   Y=.0858(3) + 1.2918                                                                                                                   Y= .2574 + 1.2918                                                                                                                   Y= 1.54926.  	Which of the 7 models in the bivariate regression analysis               	_Q5e at 97%     	explained the most variation in Q3 (hint: R2)?7.  	In which of the 7 models does independent variable’s regression     	Q5d at .2446    	coefficient cause the largest change in Q3 for a one unit change    	in the independent variable?TASK #3Variables	Pearson Coefficient	Probability of insignificant correlation	Interpretation of the resultsQ3 and Q8a	0.015	0.748	Not Significant, Positive, WeakQ9 and Q10	0.415	.000	Significant, Positive, ModerateQ8 and Q7b	0.088	0.629	Not Significant, Positive, WeakQ5b and Q9	0.037	0.437	Not Significant, Positive, WeakQ5h and Q10	0.072	0.131	Not Significant, Positive, WeakQuestions to Answer: (Assume a significant relationship requires at least a 95% level of confidence.)1.        	Of the five correlations computed, which pair of variables had the strongest association?        	____Q9 and Q10_________2.        	Of the five correlations computed, which pair of variables had the weakest association?        	_____Q3 and Q8a________3.        	Do people who perceive themselves as more physically active have a greater or lesser need for food and drink at a movie theatre?	___No they don’t have a greater or lesser need for food and drink and movie theatres______4.        	Are people who use the Internet to purchase movie tickets more or less likely to use the Internet to get information about movies at movie theatres?   ___They are not more or less likely to use the Internet to get information about movies at movie theatres___