AP Statistics Unit 9: Inference for Quantitative Data: Slopes
Intervals and tests for the slope of a regression line.
Unit overview
The slope of a sample regression line estimates the true slope of the population relationship. Because varies from sample to sample, you can build a confidence interval or test with and degrees of freedom.
Conditions are summarised as LINER: the true relationship is linear, observations are independent, residuals are approximately normal, the spread of residuals is roughly equal for all , and the data come from a random sample or randomised experiment. Almost every question gives computer output, so reading the slope and its standard error from a table is part of the skill.
Key topics
- Sampling distribution of
- Centred at with standard error from computer output.
- Confidence interval for slope
- with .
- Test for slope
- , usually with .
- Checking conditions
- Residual plot for linearity and equal spread, a histogram or dotplot of residuals for normality.
Worked example
Computer output gives slope with . Find the test statistic for .
- .
- .
Answer:
Common mistakes
- Using degrees of freedom instead of .
- Reading the standard error of the intercept instead of the slope from output.
- Interpreting the interval as describing individual points rather than the true slope.
Exam tips
- Interpret the slope interval as a range of plausible values for the change in the mean response per unit increase in .
- If the interval contains 0, there is no convincing evidence of a linear relationship at that confidence level.
More practice on this site
- Descriptive Statistics Study Guide (study guide)
- Statistics Formulas cheat sheet (one-page formulas)
- Descriptive Statistics Quiz (quick quiz)
- Statistics practice problems (with worked solutions)
See the AP Statistics exam format and every unit on the course page.