| Exam Board | Edexcel |
|---|---|
| Module | S1 (Statistics 1) |
| Year | 2023 |
| Session | October |
| Marks | 12 |
| Paper | Download PDF ↗ |
| Mark scheme | Download PDF ↗ |
| Topic | Linear regression |
| Type | Find means from regression lines |
| Difficulty | Moderate -0.3 This is a straightforward application of standard regression formulas. Part (a) involves simple simultaneous equations and using the property that regression lines intersect at (x̄, ȳ). Parts (b) and (c) require direct substitution into memorized formulas for Sxy and the correlation coefficient. All steps are routine with no problem-solving insight required, making it slightly easier than average. |
| Spec | 5.08a Pearson correlation: calculate pmcc5.09b Least squares regression: concepts5.09c Calculate regression line |
| \cline { 2 - 2 } \multicolumn{1}{c|}{} | Regression equation |
| \(y\) on \(x\) | \(y = 1.4 x + 1.5\) |
| \(x\) on \(y\) | \(x = 1.2 + 0.2 y\) |
| Answer | Marks | Guidance |
|---|---|---|
| Answer | Mark | Guidance |
| \(x = 1.2 + 0.2(1.4x+1.5)\) o.e. or \(y = 1.4(1.2+0.2y)+1.5\) o.e. | M1 | For either equation or attempt to solve simultaneously; may be implied by \(x = \frac{25}{12}\)/2.08 or better or \(y = \frac{53}{12}\)/4.42 or better |
| \(x = \frac{25}{12}\), \(y = \frac{53}{12}\) | A1 A1 | For either value; for both values (may be written as coordinate). NB This is M1 on EPEN |
| Answer | Marks | Guidance |
|---|---|---|
| Answer | Mark | Guidance |
| \(\left[\sum x =\right] \frac{25}{12} \times 12 [= 25]\) | A1* | For \(\frac{25}{12}\times 12\); allow use of \(\sum x\) rather than \(\bar{x}\); as answer given no incorrect working must be seen. Working must be shown |
| Answer | Marks | Guidance |
|---|---|---|
| Answer | Mark | Guidance |
| \(\left[\sum y =\right] \frac{53}{12} \times 12 = 53\) | M1 A1ft | For \('\frac{53}{12}'\times 12\) ft their \(y\) coordinate; allow use of \(\sum y\) rather than \(\bar{y}\); for \(\sum y = 53\) or ft their \(y\) coordinate \(\times 12\) |
| \(S_{xy} = \frac{6961}{60} - \frac{(25\times 53)}{12} = 5.6\) | M1 A1 | Use of \(S_{xy} = \frac{6961}{60} - \frac{25\times'\sum y'}{12}\) ft their \(\sum y\); if \(\sum y\) not stated then M0; 5.6 (allow awrt 5.6) |
| Answer | Marks | Guidance |
|---|---|---|
| Answer | Mark | Guidance |
| \(\frac{5.6}{S_{xx}} = 1.4\) and \(\frac{5.6}{S_{yy}} = 0.2\) | M1 | Any correct method to find \(r\): e.g. \(\frac{S_{xy}}{\sqrt{S_{xx}\times S_{yy}}}\) or \(\frac{S_{xy}}{S_{xx}} = 1.4\) and \(\frac{S_{xy}}{S_{yy}} = 0.2\) |
| \(S_{xx} = 4\) and \(S_{yy} = 28\) | A1 | cao |
| \(r = \frac{5.6}{\sqrt{4\times 28}} = 0.5291...\) | M1 dA1 | Correct formula applied; awrt 0.529 |
| Answer | Marks | Guidance |
|---|---|---|
| Answer/Working | Mark | Guidance |
| For use of the gradient to find \(S_{xx}\) and \(S_{yy}\) ft their \(S_{xy}\), or use of \(\dfrac{S_{xy}}{\sqrt{\dfrac{S_{xy}}{1.4} \times \dfrac{S_{xy}}{0.2}}}\), or setting both \(\dfrac{S_{xy}}{S_{xx}}\) and \(\dfrac{S_{xy}}{S_{yy}}\) equal to their respective gradients | M1 | Method mark for correct approach |
| \(S_{xx} = 4\) and \(S_{yy} = 28\), or \(\dfrac{S_{xy}}{\sqrt{1.4 \times 0.2}}\) or \(\dfrac{(S_{xy})^2}{S_{xx} \times S_{yy}} = 1.4 \times 0.2\) | A1 | Correct values or equivalent expression |
| For a correct expression for \(r\) ft their \(S_{xy}\), \(S_{xx}\) and \(S_{yy}\) or \(\sqrt{1.4 \times 0.2}\). If answer is incorrect then you must see their stated values substituted into a correct expression for \(r\). An answer of \(\dfrac{\sqrt{7}}{5}\) implies M1A1M1 only | M1 | Dependent on correct expression for \(r\) |
| awrt \(0.529\) | dA1 | Dependent on all previous marks being awarded |
# Question 6:
## Part (a)(i)
| Answer | Mark | Guidance |
|--------|------|----------|
| $x = 1.2 + 0.2(1.4x+1.5)$ o.e. or $y = 1.4(1.2+0.2y)+1.5$ o.e. | M1 | For either equation or attempt to solve simultaneously; may be implied by $x = \frac{25}{12}$/2.08 or better or $y = \frac{53}{12}$/4.42 or better |
| $x = \frac{25}{12}$, $y = \frac{53}{12}$ | A1 A1 | For either value; for both values (may be written as coordinate). **NB** This is M1 on EPEN |
## Part (a)(ii)
| Answer | Mark | Guidance |
|--------|------|----------|
| $\left[\sum x =\right] \frac{25}{12} \times 12 [= 25]$ | A1* | For $\frac{25}{12}\times 12$; allow use of $\sum x$ rather than $\bar{x}$; as answer given no incorrect working must be seen. **Working must be shown** |
## Part (b)
| Answer | Mark | Guidance |
|--------|------|----------|
| $\left[\sum y =\right] \frac{53}{12} \times 12 = 53$ | M1 A1ft | For $'\frac{53}{12}'\times 12$ ft their $y$ coordinate; allow use of $\sum y$ rather than $\bar{y}$; for $\sum y = 53$ or ft their $y$ coordinate $\times 12$ |
| $S_{xy} = \frac{6961}{60} - \frac{(25\times 53)}{12} = 5.6$ | M1 A1 | Use of $S_{xy} = \frac{6961}{60} - \frac{25\times'\sum y'}{12}$ ft their $\sum y$; if $\sum y$ not stated then M0; 5.6 (allow awrt 5.6) |
## Part (c)
| Answer | Mark | Guidance |
|--------|------|----------|
| $\frac{5.6}{S_{xx}} = 1.4$ and $\frac{5.6}{S_{yy}} = 0.2$ | M1 | Any correct method to find $r$: e.g. $\frac{S_{xy}}{\sqrt{S_{xx}\times S_{yy}}}$ or $\frac{S_{xy}}{S_{xx}} = 1.4$ and $\frac{S_{xy}}{S_{yy}} = 0.2$ |
| $S_{xx} = 4$ and $S_{yy} = 28$ | A1 | cao |
| $r = \frac{5.6}{\sqrt{4\times 28}} = 0.5291...$ | M1 dA1 | Correct formula applied; awrt 0.529 |
## Question (c):
| Answer/Working | Mark | Guidance |
|---|---|---|
| For use of the gradient to find $S_{xx}$ and $S_{yy}$ ft their $S_{xy}$, or use of $\dfrac{S_{xy}}{\sqrt{\dfrac{S_{xy}}{1.4} \times \dfrac{S_{xy}}{0.2}}}$, or setting both $\dfrac{S_{xy}}{S_{xx}}$ and $\dfrac{S_{xy}}{S_{yy}}$ equal to their respective gradients | M1 | Method mark for correct approach |
| $S_{xx} = 4$ and $S_{yy} = 28$, or $\dfrac{S_{xy}}{\sqrt{1.4 \times 0.2}}$ or $\dfrac{(S_{xy})^2}{S_{xx} \times S_{yy}} = 1.4 \times 0.2$ | A1 | Correct values or equivalent expression |
| For a correct expression for $r$ ft their $S_{xy}$, $S_{xx}$ and $S_{yy}$ or $\sqrt{1.4 \times 0.2}$. If answer is incorrect then you must see their stated values substituted into a correct expression for $r$. An answer of $\dfrac{\sqrt{7}}{5}$ implies M1A1M1 only | M1 | Dependent on correct expression for $r$ |
| awrt $0.529$ | dA1 | Dependent on all previous marks being awarded |
\begin{enumerate}
\item The variables $x$ and $y$ have the following regression equations based on the same 12 observations.
\end{enumerate}
\begin{center}
\begin{tabular}{ | c | c | }
\cline { 2 - 2 }
\multicolumn{1}{c|}{} & Regression equation \\
\hline
$y$ on $x$ & $y = 1.4 x + 1.5$ \\
\hline
$x$ on $y$ & $x = 1.2 + 0.2 y$ \\
\hline
\end{tabular}
\end{center}
(a) (i) Find the point of intersection of these lines.\\
(ii) Hence show that $\sum x = 25$
Given that
$$\sum x y = \frac { 6961 } { 60 }$$
(b) Find $S _ { x y }$\\
(c) Find the product moment correlation coefficient between $x$ and $y$
\hfill \mbox{\textit{Edexcel S1 2023 Q6 [12]}}