The multivariate regression test is a way to analyze

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customers’ account balances. The multivariate regression test is a way to analyze relationships between more than two variables (Doane & Seward, 2007). Team B’s multivariate model specifies one dependent variable sometimes called the response variable (Account Balances) and two independent variables also called the predictors (Interest and Number of Services) (Doane & Seward, 2007). The Hypothesis Since Team B’s multivariate regression model is to analyze the affect the two independent variables (interest and services) has on the dependent variable (balance) the team will calculate two hypothesizes. The hypothesizes are: Ho: Interest does not affect balance Ho: Number of services does not affect balance H1: Interest does affect balance. H1: Number of services does affect balance Thus the numeric hypothesizes are: The linear equation to predict significance for this multivariate regression test is: Y-hat = Bo + B1X1 + B2X2 or Balance = Bo + B1(interest) + B2(services).
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Regression Paper 3 Team B will perform a two-tailed test because in a two-tailed test if the null hypothesis is rejected, it also can be rejected in a one-tailed test at the same level of significance (Doane & Seward, 2007, p. 566). As in recent weeks, Team B will use a 0.05 level of significance. The variables in the regression test are n = 60; k = 2; α = 0.05; Y = balance; X1 = interest; and X2 = services. The X1 and X2 are the predicator variables and Y is the response variable.
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