Edexcel S1 2018 Specimen — Question 1 12 marks

Exam BoardEdexcel
ModuleS1 (Statistics 1)
Year2018
SessionSpecimen
Marks12
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicLinear regression
TypeCalculate from raw data
DifficultyModerate -0.8 This is a standard S1 linear regression question requiring straightforward application of formulas for Sxx, Sxy, correlation coefficient, and regression line. All necessary summary statistics are provided, making it a routine calculation exercise with no problem-solving or conceptual challenges—easier than average A-level.
Spec5.08a Pearson correlation: calculate pmcc5.09b Least squares regression: concepts5.09c Calculate regression line5.09d Linear coding: effect on regression5.09e Use regression: for estimation in context

  1. The percentage oil content, \(p\), and the weight, \(w\) milligrams, of each of 10 randomly selected sunflower seeds were recorded. These data are summarised below.
$$\sum w ^ { 2 } = 41252 \quad \sum w p = 27557.8 \quad \sum w = 640 \quad \sum p = 431 \quad \mathrm {~S} _ { p p } = 2.72$$
  1. Find the value of \(\mathrm { S } _ { w w }\) and the value of \(\mathrm { S } _ { w p }\)
  2. Calculate the product moment correlation coefficient between \(p\) and \(w\)
  3. Give an interpretation of your product moment correlation coefficient. The equation of the regression line of \(p\) on \(w\) is given in the form \(p = a + b w\)
  4. Find the equation of the regression line of \(p\) on \(w\)
  5. Hence estimate the percentage oil content of a sunflower seed which weighs 60 milligrams. \(\_\_\_\_\) VAYV SIHI NI JIIIM ION OC
    VJYV SIHI NI JIIIM ION OC
    VJYV SIHI NI JLIYM ION OC

Question 1 Mark Scheme
1(a)
AnswerMarks
\(S_{ww} = \frac{6402}{10} = 292\)M1A1
\(S_{wp} = \frac{27557.8}{10} = -26.2\)A1
(3 marks)
1(b)
AnswerMarks
\(r = \frac{-26.2}{\sqrt{292 \times 2.72}}\)M1
\(= -0.9297\) awrt \(-0.930\)A1
(2 marks)
1(c)
AnswerMarks
As weight increases the percentage of oil content decreases o.e.B1
(1 mark)
1(d)
AnswerMarks
\(b = \frac{-26.2}{292} = -0.0897...\) awrt \(-0.09\)M1 A1
\(a = \frac{431}{10} - (-0.0897) \times \frac{640}{10} = 48.842...\)M1
\(p = 48.8 - 0.0897w\)A1
(4 marks)
1(e)
AnswerMarks
\(p = 48.8 - 0.0897 \times 60\)M1
\(= 43.4/43.5\) awrt \(43.4/43.5\)A1
(2 marks)
Total: 12 marks
Notes
(a)
- M1: for a correct expression for \(S_{ww}\) or \(S_{wp}\) (may be implied by one correct answer)
- 1st A1: for either \(S_{ww} = 292\) or \(S_{wp} = -26.2\)
- 2nd A1: for both \(S_{ww} = 292\) and \(S_{wp} = -26.2\)
(b)
- M1: for a correct expression (Allow ft of their \(S_{ww}\) or \(S_{wp}\) provided \(S_{ww} \neq 41252\) and \(S_{wp} \neq 27557.8\)). Condone missing "\(-\)"
- A1: for awrt \(-0.930\) (Condone \(-0.93\) for M1A1 if correct expression is seen). (Answer only awrt \(-0.930\) scores 2/2 but answer only \(-0.93\) is M1A0)
(c)
- B1: For a correct contextual description of negative correlation which must include weight and oil (but w increases as p decreases is not sufficient)
(d)
- 1st M1: for a correct expression for \(b\) (Allow ft)
- 1st A1: for awrt \(-0.09\)
- 2nd M1: for a correct method for \(a\) ft their value of \(b\) (Allow \(a = 43.1 - b \times 64\))
- 2nd A1: for a correct equation for \(p\) and \(w\) with \(a = \text{awrt } 48.8\) and \(b = \text{awrt } -0.0897\). No fractions. Equation in \(x\) and \(y\) is A0
(e)
- M1: substituting \(w = 60\) into their equation
- A1: awrt \(43.4\) or \(43.5\) (Answer only scores 2/2)
# Question 1 Mark Scheme

## 1(a)
$S_{ww} = \frac{6402}{10} = 292$ | M1A1

$S_{wp} = \frac{27557.8}{10} = -26.2$ | A1

(3 marks)

## 1(b)
$r = \frac{-26.2}{\sqrt{292 \times 2.72}}$ | M1

$= -0.9297$ awrt $-0.930$ | A1

(2 marks)

## 1(c)
As weight increases the percentage of oil content decreases o.e. | B1

(1 mark)

## 1(d)
$b = \frac{-26.2}{292} = -0.0897...$ awrt $-0.09$ | M1 A1

$a = \frac{431}{10} - (-0.0897) \times \frac{640}{10} = 48.842...$ | M1

$p = 48.8 - 0.0897w$ | A1

(4 marks)

## 1(e)
$p = 48.8 - 0.0897 \times 60$ | M1

$= 43.4/43.5$ awrt $43.4/43.5$ | A1

(2 marks)

**Total: 12 marks**

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## Notes

**(a)**
- M1: for a correct expression for $S_{ww}$ or $S_{wp}$ (may be implied by one correct answer)
- 1st A1: for either $S_{ww} = 292$ or $S_{wp} = -26.2$
- 2nd A1: for both $S_{ww} = 292$ and $S_{wp} = -26.2$

**(b)**
- M1: for a correct expression (Allow ft of their $S_{ww}$ or $S_{wp}$ provided $S_{ww} \neq 41252$ and $S_{wp} \neq 27557.8$). Condone missing "$-$"
- A1: for awrt $-0.930$ (Condone $-0.93$ for M1A1 if correct expression is seen). (Answer only awrt $-0.930$ scores 2/2 but answer only $-0.93$ is M1A0)

**(c)**
- B1: For a correct contextual description of negative correlation which must include weight and oil (but w increases as p decreases is not sufficient)

**(d)**
- 1st M1: for a correct expression for $b$ (Allow ft)
- 1st A1: for awrt $-0.09$
- 2nd M1: for a correct method for $a$ ft their value of $b$ (Allow $a = 43.1 - b \times 64$)
- 2nd A1: for a correct equation for $p$ and $w$ with $a = \text{awrt } 48.8$ and $b = \text{awrt } -0.0897$. No fractions. Equation in $x$ and $y$ is A0

**(e)**
- M1: substituting $w = 60$ into their equation
- A1: awrt $43.4$ or $43.5$ (Answer only scores 2/2)
\begin{enumerate}
  \item The percentage oil content, $p$, and the weight, $w$ milligrams, of each of 10 randomly selected sunflower seeds were recorded. These data are summarised below.
\end{enumerate}

$$\sum w ^ { 2 } = 41252 \quad \sum w p = 27557.8 \quad \sum w = 640 \quad \sum p = 431 \quad \mathrm {~S} _ { p p } = 2.72$$

(a) Find the value of $\mathrm { S } _ { w w }$ and the value of $\mathrm { S } _ { w p }$\\
(b) Calculate the product moment correlation coefficient between $p$ and $w$\\
(c) Give an interpretation of your product moment correlation coefficient.

The equation of the regression line of $p$ on $w$ is given in the form $p = a + b w$\\
(d) Find the equation of the regression line of $p$ on $w$\\
(e) Hence estimate the percentage oil content of a sunflower seed which weighs 60 milligrams.\\

$\_\_\_\_$ VAYV SIHI NI JIIIM ION OC\\
VJYV SIHI NI JIIIM ION OC\\
VJYV SIHI NI JLIYM ION OC

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\hfill \mbox{\textit{Edexcel S1 2018 Q1 [12]}}