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A researcher wants to determine the role that SEVERAL variables play in predicting an outcome variable. Which of the following should she choose?
Hayes-Bowles correlation

Bivariate correlation

Multiple regression

An advertiser wants to measure audience response to a new movie. He randomly selects 10 showings of the film and surveys every attendee to these showings. This is an example of:

Cluster sampling

Simple random sampling

Snowball sampling

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Predictions involving the use of more than one dependent variable and the sampling technique related to assigning samples to a certain number of groups utilize multiple regression and cluster sampling respectively.

Regression models are used to make prediction models based on a set of a given independent and dependent variables. When the dependent variables to be used is more than one, then a multiple regression model should be adopted. In the case of just one dependent variable, the model adopted ls a linear regression model.

Hence, the multiple regression technique should be adopted.

Cluster sampling technique involves the used of a certain number of points called clusters upon which samples or variables of related elements are grouped together. Therefore, in these scenario, the 10 showing of the fim are clusters and attendees related to each showings are the cluster samples.

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