3. The ________ is used to determine the strength of the relationship between independent and dependent variables. (A) slope of the regression line (C) coefficient of determination (B) y-intercept of the regression line (D) correlation coefficient
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Step 1: The correlation coefficient is used to determine the strength of the relationship between independent and dependent variables. Show more…
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The correlation coefficient is: the range of values over which the probability may be estimated based upon the regression equation results. the proportion of the total variance in the dependent variable explained by the independent variable. the measure of variability of the actual observations from the predicting (forecasting) equation line. the relative degree that changes in one variable can be used to estimate changes in another variable.
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The measure computed from the sample data that measures the strength and linear relationship between quantitative variables is called: - Linear regression coefficient - Linear correlation analysis - Quadratic coefficient analysis - Linear correlation coefficient
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In order to predict $y$ -values using the equation of a regression line, what must be true about the correlation coefficient of the variables?
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