Practice IB Mathematics Analysis and Approaches (AA) Topic SL 4.10—X on y Regression Line with authentic exam-style questions for both SL and HL students. This question bank focuses on the exact syllabus content for SL 4.10—X on y Regression Line and mirrors Paper 1, 2, 3 style where relevant.
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A dataset records study time (hours) and test score (points) for eight students:
Using technology, find , the regression line , and the regression line .
Predict at and find the residual for .
Using on , estimate for ; then invert to estimate when . Explain the difference.
Compute and interpret; comment on extrapolating to .
For a set of bivariate data, the regression line of on is given by , and the regression line of on is given by .
Both regression lines pass through the same point. State the significance of this point.
Find the coordinates of this point.
A music teacher records the number of hours of practice, , and the score, , out of 100, of nine students in a performance assessment.
The regression line of on is . The regression line of on is .
Estimate the score for a student who practises for 7 hours.
Find the mean number of hours of practice, .
The marks of eight students on a science test () and a maths test () are recorded.
| 56 | 62 | 68 | 75 | 78 | 82 | 85 | 90 | |
|---|---|---|---|---|---|---|---|---|
| 50 | 58 | 60 | 70 | 72 | 78 | 82 | 88 |
Find Pearson's product-moment correlation coefficient.
Find the equation of the regression line of on .
Find the equation of the regression line of on .
A student scored on the science test. Use an appropriate regression line to estimate their maths mark.
A gym tracks the number of push-ups, , and the heart rate, , in beats per minute, of nine members after a workout.
The regression line of on is . The regression line of on is .
Estimate the heart rate for a member who does 38 push-ups.
Find the mean number of push-ups, .