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Multiple Regression/Correlation With Two or More Independent Variables
3.1 INTRODUCTION: REGRESSION AND CAUSAL MODELS
In Chapter 2 we examined the index of linear correlation between two variables, the Pearson product moment correlation r and the regression equation for estimating Y from X. Because of the simplicity of the two-variable problems, we did not need to go into detail regarding the interpretive use of these coefficients to draw substantive inferences. The inferences were limited to the unbiased estimation of their magnitudes in the population; the assertion, in the case of the regression coefficient, that one variable was, in part, related to or dependent on the other; and the demonstration of the significance of the departure of ...
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