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24/25: MKTG212: Quantitative Marketing Research [1]

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Subsay wants to determine whether or not there is a difference between males and females and the mean scores for each of the new variables (the 3 factors). Run a test to determine time and indicate which of the factors show a significant difference between males and females. (Tick as many as apply).
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What is the most important dimension that would affect the 'Likelihood to recommend Subsay to my Friends' 
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Run a regression using the 3 new variables created from the Factor Analysis ad the independent variables and 'I would recommend Subsay to my friends'. 

What is the R-square? (Use 3 decimal places).

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Name the three factors in your SPSS database; Quantity, Quality and Speed. Which items make the up the 'Quality' factor? (Tick as many as apply).

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How much of the variance is accounted for in this factor solution? (Use 2 decimal places)

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Run a Factor Analysis with the 5 quality/service items (independent variables - exclude the dependent variable, 'I would recommend Subsay to my friends). Use a varimax rotation and save the scores as variables (using the regression method). How many factors were created?

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Factor analysis is one of the most widely used multivariate tools. Which of the following is NOT a use of Factor analysis

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How likely is it that multicollinearity has occurred in this regression?

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What is the upper and lower limit of the predicted value? (To 2 decimal places)

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Assume that Subsay gets a 3 for each of the 5 independent items. What is the predicted score? (To 2 decimal places)

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