3. Imagine we are interested in the relationship between an outcome y₁ (profit margin of savings and loan companies in a

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3. Imagine we are interested in the relationship between an outcome y₁ (profit margin of savings and loan companies in a

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3 Imagine We Are Interested In The Relationship Between An Outcome Y Profit Margin Of Savings And Loan Companies In A 1
3 Imagine We Are Interested In The Relationship Between An Outcome Y Profit Margin Of Savings And Loan Companies In A 1 (72.02 KiB) Viewed 10 times
3. Imagine we are interested in the relationship between an outcome y₁ (profit margin of savings and loan companies in a given year) and two predictors, x₁ (net revenues in that year) and x₂ (number of savings and loan branches offices). Using the information available, please complete the ANOVA table below. Model Regression Residual Df 24 Model 1 Total a. Predictors: (Constant), Number of Branches, Net Revenues b. Dependent Variable: Profit Margin Sum of Squares .0625 4640 B 1.5645 2372 4. Please interpret the outcome of the ANOVA table in Question 3 Please respond in APA- format. Unstandardized Coefficients (Constant) Net Revenues Number of Branches -.0002491 5. Please use the Coefficients Table below to answer the following questions in APA format. a. Report the findings for the "Net Revenues" row and provide an interpretive statement. Std. Error 0794 Mean Square F 2008 0556 0000 Standardized Coeficients Beta Coefficients 9872 -1.7971 Sig 19.7050 .0000 4.2693 .0003 -7.7719 .0000 Sig. 95% Confidence Interval for B Lower Bound Upper Bound 1.3998 1.7292 1220 3524 -.0003155 -0001826 < .001 a. Dependent Variable: Profit Margin b. Do you have any concerns abut multicollinearity? Why or why not? Collinearity Statistics Tolerance VIF 1145 8.7321 1145 8.7321
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