Practice IB Mathematics Analysis and Approaches (AA) Topic SL 4.4—pearsons, Scatter Diagrams, Eqn of y on x with authentic exam-style questions for both SL and HL students. This question bank focuses on the exact syllabus content for SL 4.4—pearsons, Scatter Diagrams, Eqn of y on x and mirrors Paper 1, 2, 3 style where relevant.
Get instant solutions, detailed explanations, and build confidence with questions aligned to IB examiner expectations.
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 .
The variables and are related by a power law of the form , where . The following table shows values of and .
| 0 | 0.693 | 1.386 | 2.079 | 2.773 | |
|---|---|---|---|---|---|
| 0.693 | 2.773 | 4.852 | 6.931 | 9.011 |
The relationship between and can be modelled by .
Find the value of and the value of .
Hence find the value of and the value of .
A biologist studies the growth of a colony of bacteria. The table shows the time (in hours) and the number of bacteria in the colony at that time.
| (hours) | |||||||
|---|---|---|---|---|---|---|---|
It is proposed that the relationship between and can be modelled by , where and are positive constants.
Show that .
Find the equation of the regression line of on in the form .
Hence find the values of and .
Use the model to estimate the number of bacteria after hours.
Find the value of (to the nearest hour) when the colony first exceeds bacteria.
Comment on the appropriateness of using the model to predict the number of bacteria after hours.
A small coffee shop records the number of customers and the daily revenue (in dollars) over ten consecutive days.
The shop's daily cost (in dollars) is modelled by , where is the daily revenue.
Find Pearson's product-moment correlation coefficient .
Comment on the result.
Write down the equation of the regression line of on in the form .
Use the regression equation to estimate the revenue when customers are served on a particular day. Give your answer to the nearest dollar.
Find an expression for the daily profit in terms of .
Find the minimum number of customers required to make a profit on a particular day.
Comment on the appropriateness of using this regression line to estimate the revenue when the shop serves customers.
A botanist records the number of leaves, , and the height, , in centimetres, of ten young plants.
The regression line of on is . The regression line of on is .
Estimate the height of a plant with 26 leaves.
Find the mean number of leaves, .