Edexcel A-Level Mathematics AS S1.4 Correlation and Regression Questions

Practise correlation and regression by calculating summary statistics, fitting least-squares lines and judging predictions in context.

Syllabus
First assessment 2019
Course
Mathematics YMA01
Level
AS

Exam points

  • Calculate Sxx, Sxy or regression coefficients before writing the least-squares line.
  • Interpret gradient, intercept or r in context using variables, units and direction of change.
  • Judge prediction reliability by checking correlation strength and whether the input is extrapolated.

Question 1

[Maximum number: 10]

Students on a psychology course were given a pre-test at the start of the course and a final exam at the end of the course. The teacher recorded the number of marks achieved on the pre-test, p, and the number of marks achieved on the final exam, f, for 34 students and displayed them on the scatter diagram.

The equation of the least squares regression line for these data is found to be
f=10.8+0.748p

For these students, the mean number of marks on the pre-test is 62.4

Considering the equation of the regression line, Priya says that she would expect someone who scored 0 marks on the pre-test to score 10.8 marks on the final exam.

Later the teacher discovers an error in the recorded data. The student who achieved a score of 98 on the pre-test, scored 92 not 29 on the final exam.
The summary statistics used for the model f=10.8+0.748p are corrected to include this information and a new least squares regression line is found.
Given the original summary statistics were,
n=34
sum p=2120
sum pf=133486
Spp=15573.76
Spf=11648.35

Question (a)

(a)

Use the regression model to find the mean number of marks on the final exam.

[ 2 ]

Question (b)

(b)

Give an interpretation of the gradient of the regression line.

[ 1 ]

Question (c)

(c)

Comment on the reliability of Priya's statement.

[ 1 ]

Question (d)

(d)

Write down the number of marks achieved on the final exam for the student who exceeded the expectation of the regression model by the largest number of marks.

[ 1 ]

Question (e)

(e)

calculate the gradient of the new regression line. Show your working clearly.

[ 5 ]

Question 2

[Maximum number: 14]

A biologist is studying horses.

The biologist records the height, h cmh \mathrm{~cm}, and the weight, w kgw \mathrm{~kg}, of 8 horses.
The table below shows the biologist's results.

Table for Question 2 — Edexcel A-Level Mathematics AS

[You may use ∑h=1160∑w=4160∑hw=604135∑w2=2166600 Shh=286\sum h=1160 \sum w=4160 \sum h w=604135 \sum w^{2}=2166600 \quad \mathrm{~S}_{h h}=286 ]

Question (a)

(a)

Calculate the value of Shw\mathrm{S}_{h w} and the value of Sww\mathrm{S}_{w w}

[ 3 ]

Question (b)

(b)

Calculate the value of the product moment correlation coefficient between h and w

[ 2 ]

Question (c)

(c)

Show that the equation of the regression line of w on h can be written as

w=46.0+3.27 h

where the values of the intercept and gradient are given to 3 significant figures.

[ 3 ]

Question (d)

(d)

Give an interpretation, in context, of the gradient of the regression line.

[ 1 ]

Question (e)

(e)

Using the equation of the regression line in part (c), estimate the weight of a horse with a height of

[ 4 ]

Question (i)

(i)

153 cm

[ 2 ]

Question (ii)

(ii)

170 cm

[ 2 ]

Question (f)

(f)

State, giving a reason, which of the two estimates found in part (e) would give the more reliable estimate.

[ 1 ]

Question 3

[Maximum number: 12]

A large company rents shops in different parts of the country. A random sample of 10 shops was taken and the floor area, x in 10 m210 \mathrm{~m}^{2}, and the annual rent, y in thousands of dollars, were recorded.
The data are summarised by the following statistics

∑x=900∑x2=84818∑y=183∑y2=3434\sum x=900 \quad \sum x^{2}=84818 \quad \sum y=183 \quad \sum y^{2}=3434

and the regression line of y on x has equation y=6.066+0.136 x

Question (a)

(a)

Use the regression line to estimate the annual rent in dollars for a shop with a floor area of 800 m2800 \mathrm{~m}^{2}

[ 2 ]

Question (b)

(b)

Find the product moment correlation coefficient between y and x.

An 11th shop is added to the sample. The floor area is 900 m2900 \mathrm{~m}^{2} and the annual rent is 15000 dollars.

[ 4 ]

Question (c)

(c)

Use the formula Sxy=∑(x−xˉ)(y−yˉ)\mathrm{S}_{x y}=\sum(x-\bar{x})(y-\bar{y}) to show that the value of Sxy\mathrm{S}_{x y} for the 11 shops will be the same as it was for the original 10 shops.

[ 2 ]

Question (d)

(d)

Find the new equation of the regression line of y on x for the 11 shops.

The company is considering renting a larger shop with area of 3000 m23000 \mathrm{~m}^{2}

[ 3 ]

Question (e)

(e)

Comment on the suitability of using the new regression line to estimate the annual rent. Give a reason for your answer.

[ 1 ]

Question 4

[Maximum number: 2]

A biologist is studying horses.

The biologist records the height, h cmh \mathrm{~cm}, and the weight, w kgw \mathrm{~kg}, of 8 horses.
The table below shows the biologist's results.

Table for Question 4 — Edexcel A-Level Mathematics AS

[You may use ∑h=1160∑w=4160∑hw=604135∑w2=2166600 Shh=286\sum h=1160 \sum w=4160 \sum h w=604135 \sum w^{2}=2166600 \quad \mathrm{~S}_{h h}=286 ]

Calculate the value of the product moment correlation coefficient between h and w

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