Practice IB Mathematics Applications & Interpretation (AI) Topic SL 4.4—correlation of Data with authentic exam-style questions for both SL and HL students. This question bank focuses on the exact syllabus content for SL 4.4—correlation of Data and mirrors Paper 1, 2, 3 style where relevant.
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A regional gymnastics competition held in Cardiff used two judges (Judge U and Judge V), each working independently, to score the artistic merit of the final floor routines of gymnasts on a scale out of . The gymnasts are labelled to . The scores are shown in the table below.
| Gymnast | J | K | L | M | N | O | P | Q |
|---|---|---|---|---|---|---|---|---|
| Judge U's score () | 6.4 | 7.8 | 8.5 | 9.2 | 7.1 | 8.8 | 6.9 | 7.5 |
| Judge V's score () | 6.8 | 7.9 | 8.7 | 9.1 | 7.2 | 8.4 | 6.5 | 7.6 |
| Judge U's rank | ||||||||
| Judge V's rank |
After reviewing the video replay, Judge U decides that gymnast 's score was too high and decreases the score from to .
Find the Pearson's product-moment correlation coefficient, , for this data.
Using the value of , interpret the relationship between Judge U's scores and Judge V's scores.
Find the equation of the line of regression, on .
Use your regression equation from the previous part to estimate Judge V's score for a gymnast whose Judge U score was .
State whether this estimate is reliable. Justify your answer.
Complete the two empty rank rows in the table above.
Find the value of the Spearman's rank correlation coefficient, .
Comment on the result obtained for .
Explain why the value of the Spearman's rank correlation coefficient does not change.
A statistical study analyzed the correlation between the duration of rainfall in hours () and the number of umbrellas sold by a shop each day (). The scatter plot below displays the recorded data.
The average duration of rainfall of the recorded days was 4.
The regression line for on is given by the equation .
Calculate the average number of umbrellas sold per day.
Sketch the regression line on the provided scatter plot.
Identify the relationship shown by the regression line:
A day has a rainfall duration of hours. State one reason why the regression equation might be unreliable for predicting the number of umbrellas sold.
A river monitoring team measured nitrate concentration, in mg/L, for water samples using a laboratory test and a portable sensor. The results are shown in the table below. In the rank rows, use rank for the highest concentration.
| Sample | ||||||||
|---|---|---|---|---|---|---|---|---|
| Laboratory result () | 12.4 | 15.8 | 11.1 | 18.6 | 14.2 | 16.9 | 10.3 | 13.5 |
| Portable sensor result () | 12.9 | 15.3 | 11.5 | 18.8 | 13.8 | 16.2 | 10.8 | 14.1 |
| Laboratory rank | ||||||||
| Portable sensor rank |
Find the Pearson's product-moment correlation coefficient, , for this data.
Using the value of , interpret the relationship between the laboratory results and the portable sensor results.
Find the equation of the line of regression, on .
Use your regression equation from the previous part to estimate the portable sensor result for a water sample with laboratory result mg/L.
State whether this estimate is reliable. Justify your answer.
Complete the two empty rank rows in the table above.
Find the value of the Spearman's rank correlation coefficient, .
Comment on the result obtained for .
After recalibration, the laboratory test revises the result for sample from to .
Explain why the value of the Spearman's rank correlation coefficient does not change.
An online language school is trialling a listening-placement quiz for new students. Two equivalent versions were completed by the same students four days apart. Their scores out of 40 are shown.
| Student | A | B | C | D | E | F | G |
|---|---|---|---|---|---|---|---|
| Version P | 11 | 17 | 20 | 26 | 30 | 34 | 39 |
| Version Q | 12 | 21 | 18 | 30 | 26 | 34 | 29 |
Identify the specific term used for this method of determining reliability.
Identify a drawback associated with applying this reliability test.
Compute the value of Pearson’s product-moment correlation coefficient for the given data.
Based on your result, justify whether or not the survey effectively demonstrates reliability.
A drone engineer records, for six test flights, the distance from the controller, (in hundreds of metres), and the signal strength, (as a percentage). The data is shown below.
| 1 | 4 | 6 | 7 | 9 | 12 | |
|---|---|---|---|---|---|---|
| 91 | 74 | 64 | 60 | 51 | 35 |
The linear regression model for on has equation .
Calculate the values of and .
Identify the value of the Pearson's product-moment correlation coefficient.
Predict the signal strength on a flight at m from the controller, based on this regression model.