Regression Analysis unit test
A test on this unit alone, marked as a percentage and a letter grade — for the test your class is actually sitting, rather than for May. Answer everything, then submit once: seeing the answer to question 3 before attempting question 4 makes the final percentage meaningless.
Residual for a specific point
Sampling distribution of the slope
What r does not tell you
Why r² is not r squared conceptually
Choosing a transformation
Residual plot patterns
Reading standard error from output
Correlation coefficient r
Least-squares regression line
Interpreting r in context
Confidence interval for the slope in context
Extrapolation warning in slope inference
Short answer 1. Define or explain: Interpreting the y-intercept
3 ptsShort answer 2. Define or explain: High-leverage point
3 ptsShort answer 3. Define or explain: Swapping x and y
3 ptsShort answer 4. Define or explain: Residual
3 ptsFree response
5 ptsEight students' study hours (x) and exam scores (y) give ŷ = 52 + 6.5x, with r = 0.87 and s = 4.2.
Interpret the slope in context.
Interpret r² in context.
A student who studied 5 hours scored 88 — find and interpret the residual.
Explain what s = 4.2 measures.