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[DOC File]Multiple Correlation/Regression Analysis
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Example of Three Predictor Multiple Regression/Correlation Analysis: Checking Assumptions, Transforming Variables, and Detecting Suppression. The data are from Guber, D.L. (1999). Getting what you pay for: The debate over equity in public school expenditures. Journal of Statistics Education, 7, 1-8. The research units are the fifty states in ...
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[DOC File]Serial Correlation in Regression Analysis
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Linear Regression dialogue box to run the multiple linear regression analysis. We now examine the output, including findings with regard to multicollinearity, whether the model should be trimmed (i.e., removing insignificant predictors), violation of homogeneity of variance and normality assumptions, and outliers and influential cases.
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[DOCX File]Example of Three Predictor Multiple Regression
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To conduct a regression analysis for a curvilinear relationship with one independent variable: To create indicator (dummy) variables from a column of qualitative data: 1 Choose . Calc ( Make Indicator Variables. 2 Enter variable in . Indicator variables for. (in our example, we use Type of Repellent) 3 Enter column numbers where you would like ...
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[DOCX File]Analyses of Cateogical Dependent Variables
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Any two-valued independent variable can be included in a simple or multiple regression analysis. The regression can be used to compare the means of the two groups . yielding the same conclusion as the equal-variances independent groups t-test. Example: Suppose the performance of two groups trained using different methods is being compared.
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[DOC File]Regression Analysis (Simple)
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Multiple linear regression analysis: A standard multiple regression procedure was employed in order to ascertain the proportion of explained variance in aggression. The dependent variable was aggression and independent variables were game exposure, number of aggressive games, and sex.
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[DOC File]Example 1: (Cigarette data set posted on course website)
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The equation of two regression lines between two variables are expressed as 3X – 4Y + 30 = 0 and 5X - 2Y + 8 = 0. a. Identify which of the two can be called regression equation of Y on X and X on Y.
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[DOCX File]Comparing Group Means using Regression
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Serial Correlation in Regression Analysis. ... Example: The model we used earlier, Y = A + BX + where Y is the sales revenue and X is the advertising budget, is actually a time series; the successive pairs of Y and X values are observed monthly. Therefore, there is …
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[DOC File]Example 18 - Yola
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4. Regression line will extend beyond the more negative of the two Y values in the negative direction and beyond the more positive value in the positive direction resulting in Y-hats that are impossible values. 2. Logis. tic Regression. 3. Probit analysis. Logistic Regression and Probit analysis are very similar. Almost everyone uses Logistic.
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Examples of Regression Analysis - Statistics Department
Example of Regression Analysis: Emergency Calls to the New York Auto Club. The AAA Club of New York provides many services to its members, including travel planning, traffic safety classes and discounts on insurance. The service with the highest profile is its Emergency Road Service (ERS). If a club member’s car breaks down, the member can ...
examples of regression analysis research

[DOC File]Examples of Regression Analysis - Statistics Department
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The example above is fixed time, a snapshot in time. To denote a time series analysis, the subscript changes to t. OLS cannot do pooled cross-sectional and time series. Simple vs Complex or Multiple Regression. Simple linear regression has only one independent variable: Yi = Β0 + β1 Xi + εi . Multiple linear Regression has multiple ...
examples of regression analysis questions

Example of regression analysis