Exam 18: A: Multivariate Data Analysis

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An advertising agency has been doing work for a client selling widgets.The three-month campaign has produced a low correlation between advertising expenditures and sales for its client.Hence,the client is considering firing the ad agency.The ad agency counters that consumer sales are not a fair assessment of the effectiveness of the ad campaign after only three months.They counter with an analysis of advertising expenditures in relation to number of requests for information about the widgets;number of distributors stocking widgets;and number of retailers requesting shipments of widgets.The ad agency has a database with such information.What kind of analysis would best assist the ad agency in making their case for the effectiveness of their ad campaign?

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Since the ad agency wants to show that advertising expenditures are strongly related to the requests for information about widgets,number of distributors stocking widgets,and number of retailers requesting shipments of widgets,they should invoke a multiple regression analysis.

An insurance company wants to know whether the subscribers to its HMO,PPO,or traditional single indemnity plan exhibit better health characteristics.They have the following data for each of their subscribers: % of body weight over optimum weight;blood pressure;cholesterol and hours per week of exercise.The analysis will group subscribers as either healthy,somewhat healthy or not healthy.Which of the following would be the best procedure for making such a determination?

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D

In factor analysis,the correlation between factor scores and the original variables is known as the factor ________,

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A

Suppose a marketer was trying to predict the sales (Y)of a product for a given level of advertising (X1)and sales performance (X2).The resulting output was as follows: Y = 2,300 + 34(X1)+ 15.5(X2)with a R2 = .12 Given the above results,what would you suggest to the marketer?

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Multivariate techniques analyze relationships between more than 2 variables.

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Which of the following is multiple discriminant analysis most similar to?

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Multiple discriminant analysis is useful when the dependent variable is metric.

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All of the following are techniques for multivariate analysis procedure except ________.

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The coefficient of determination is normally associated with which of the following multivariate procedures?

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In multiple regression analysis the dependent variable is nominal or categorical.

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Data mining typically involves four classes of task.Which is not one of the tasks?

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A client has a data set that would be appropriate for a linear model.He wants the resulting model to predict whether or not a person would buy a particular product.The client has been advised that a multiple regression analysis would be the best approach.What would you suggest?

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Collinearity is a situation in which independent variables are heavily correlated with each other.

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Summarizing a number of survey questions into a single concept could be achieved with which type of analysis?

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Independent variables are important components in multiple regression analysis and ________________.

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In the case of multiple regression analysis,the dependent variable must be ___________;in multiple discriminant analysis,the dependent variable is__________ in nature.

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Multiple regression enables the researcher to show that two variables are causally related.

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If the goal is to classify business travelers into distinct groups based on their responses to 20 questions on preferences to mode of transportation,hotel accommodation,and ethnic food,which of the following techniques would be most appropriate?

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What is multivariate analysis?

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The goal of factor analysis is to identify as many factors as possible.

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