Chapter 14 Test Review
In order to succeed on the Chapter 14 test, understand the following:
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Know how to identify the appropriate values from computer output (p-value, t,
slope, intercept, SEb, etc.)
Know how to construct a confidence interval about regression slope
Know how to conduct a test of significance about the regression slope
Know how to construct and interpret various plots, including scatterplots of x and
y data, residual plots, normal probability plots of residuals, and boxplots of
residuals
Know the conditions that need to be met in order to perform inference for the
regression slope
Know how to verify that the necessary conditions are met
Know how the direction of an association between two variables is related to the
slope of the regression line
Remember that the inference procedures are based on the t distribution with n – 2
degrees of freedom
Know what the various “standard deviations” are measuring (i.e., s, SEb, etc.)
Know how to perform a linear regression, i.e., come up with the equation of a line
given bivariate data
Know how to properly formulate null and alternative hypotheses for a given test
about the regression slope
Know how to interpret the correlation and determination coefficients (r, and r2,
respectively)
Know how to interpret the slope (and the intercept, if necessary) of the regression
line in context
Know how to formulate a conclusion to a test of significance about the regression
slope in terms of a p-value
Know how to use your calculator to calculate SEb without using the big messy
formula
Know how to interpret a confidence interval for the regression slope in context