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l2 11 correlation and regression

This class was created by Brainscape user Steven Popovic. Visit their profile to learn more about the creator.

By: Steven Popovic
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Decks in this class (11)

a calculate and interpret a sample covariance and a sample correlation coefficient, and interpret a scatter plot;
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c formulate a test of the hypothesis that the population correlation coefficient equals zero, and determine whether the hypothesis is rejected at a given level of significance;
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b describe limitations to correlation analysis;
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d distinguish between the dependent and independent variables in a linear regression;
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e describe the assumptions underlying linear regression, and interpret regression coefficients;
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f calculate and interpret the standard error of estimate, the coefficient of determination, and a confidence interval for a regression coefficient;
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g formulate a null and alternative hypothesis about a population value of a regression coefficient, and determine the appropriate test statistic and whether the null hypothesis is rejected at a given level of significance;
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h calculate the predicted value for the dependent variable, given an estimated regression model and a value for the independent variable;
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i calculate and interpret a confidence interval for the predicted value of the dependent variable;
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j describe the use of analysis of variance (ANOVA) in regression analysis, interpret ANOVA results, and calculate and interpret the F-statistic;
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k describe limitations of regression analysis.
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l2 11 correlation and regression

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