| Exam Board | CAIE |
|---|---|
| Module | FP2 (Further Pure Mathematics 2) |
| Year | 2013 |
| Session | June |
| Paper | Download PDF ↗ |
| Mark scheme | Download PDF ↗ |
| Topic | Linear regression |
| Type | Find unknown values from regression |
| Difficulty | Standard +0.8 This question requires understanding that the regression line passes through (x̄, ȳ), setting up a system involving means and the constraint that the line has gradient 1, then solving a quadratic equation for p. Part (ii) requires calculating correlation coefficient and finding the perpendicular regression line. It combines multiple statistical concepts with algebraic manipulation beyond routine application. |
| Spec | 5.08a Pearson correlation: calculate pmcc5.09c Calculate regression line |
| \(x\) | 2 | 3 | 3 | 4 | \(p\) |
| \(y\) | 4 | 5 | 8 | 4 | 2 |
| Answer | Marks | Guidance |
|---|---|---|
| \(mg \times ka - \frac{1}{2}(3mg/2)(ka-a)^2/a\) | M1=[A1 | Energy equation with EPE term |
| Answer | Marks | Guidance |
|---|---|---|
| \(= \frac{1}{4}mga(10k - 3 - 3k^2)\) A.G. | A1 | 3 marks total |
| Answer | Marks |
|---|---|
| \(3k^2 - 10k + 3 = 0\) (A.E.F.) | M1 |
| Answer | Marks | Guidance |
|---|---|---|
| Roots 3 and \(\frac{1}{3}\), so \(k = 3\) A.G. | M1 A1 | 3 marks total |
| Answer | Marks |
|---|---|
| \(a = \frac{1}{2}gt_1^2\), \(t_1 = \sqrt{(2a/g)}\) | B1 |
| Answer | Marks |
|---|---|
| \(mg = 3mge/2a\), \(e = 2a/3\) or \(AO = 5a/3\) | B1 |
| Answer | Marks |
|---|---|
| \(m\frac{d^2x}{dt^2} = mg - 3mg(x+e)/2a\) | M1 |
| \(\frac{d^2x}{dt^2} = -3gx/2a\) | A1 |
| Answer | Marks |
|---|---|
| \(x_0 = 4a/3\) and \(\omega^2 = 3g/2a\) | B1 |
| Answer | Marks |
|---|---|
| \([-]\ e = x_0\cos\omega t_2\) | M1 |
| \(t_2 = \sqrt{(2a/3g)}\cos^{-1}(-\frac{1}{2})\) (A.E.F.) | A1 |
| Answer | Marks | Guidance |
|---|---|---|
| \(\sqrt{(2a/g)} + (2\pi/3)\sqrt{(2a/3g)}\) A.G. | A1 | 8 marks, 14 total |
| Answer | Marks |
|---|---|
| \(\Sigma xy = 63 + 2p\) | M1 |
| Answer | Marks | Guidance |
|---|---|---|
| or \(39 - 13p = 4p^2 - 24p + 46\) | M1 A1 A1 | A1 for each side |
| Answer | Marks | Guidance |
|---|---|---|
| \(5k + (12+p) = 23\) and \((12+p)k + (38+p^2) = 63 + 2p\) | (M1 A1 A1) | A1 for each equation |
| Answer | Marks | Guidance |
|---|---|---|
| or \(4p^2 - 11p + 7 = 0\) | M1 A1 | |
| \(p = 1,\ 1.75\) (or \(7/4\)) | A1, A1 | 8 marks total |
| Answer | Marks |
|---|---|
| \(r = (65 - 13\times 23/5)\ /\ \sqrt{\{(39 - 13^2/5)(125 - 23^2/5)\}}\) | M1 A1 |
| Answer | Marks |
|---|---|
| \(= 5.2/19.2\) or \(1.04/3.84\) | M1 A1 |
| Answer | Marks | Guidance |
|---|---|---|
| \(r = \sqrt{39/12}\) or \(0.52\) | A1 | 3 marks total |
| Answer | Marks |
|---|---|
| \(b_2 = 5.2/19.2\) or \(r^2\ [= 0.2708]\) | M1 |
| Answer | Marks |
|---|---|
| or \(0.271y + 1.35\) | M1, A1 |
| Answer | Marks |
|---|---|
| \(5a_2 + 23b_2 = 13\) and \(23a_2 + 125b_2 = 65\) | (M1), (M1) |
| Answer | Marks | Guidance |
|---|---|---|
| And \(a_2 = 65/48\) or \(1.35\) | (A1) | 3 marks, 14 total |
# Question 10(a):
**Finding KE after falling ka from PE:**
$mg \times ka - \frac{1}{2}(3mg/2)(ka-a)^2/a$ | M1=[A1 | Energy equation with EPE term
$= mga(k - 3k^2/4 + 3k/2 - \frac{3}{4})$
$= \frac{1}{4}mga(10k - 3 - 3k^2)$ **A.G.** | A1 | 3 marks total
---
**Finding equation for k (or ka) at B using KE = 0:**
$3k^2 - 10k + 3 = 0$ (A.E.F.) | M1 |
---
**Finding both roots and selecting root > 1:**
Roots 3 and $\frac{1}{3}$, so $k = 3$ **A.G.** | M1 A1 | 3 marks total
---
**Finding time $t_1$ to fall $a$ from $A$ (under no tension):**
$a = \frac{1}{2}gt_1^2$, $t_1 = \sqrt{(2a/g)}$ | B1 |
---
**Finding ext. $e$ or distance fallen at equilibrium point O:**
$mg = 3mge/2a$, $e = 2a/3$ or $AO = 5a/3$ | B1 |
---
**State or find SHM equation at x below (or above) O:**
$m\frac{d^2x}{dt^2} = mg - 3mg(x+e)/2a$ | M1 |
$\frac{d^2x}{dt^2} = -3gx/2a$ | A1 |
---
**State or use correct amplitude $x_0$ and $\omega^2$:**
$x_0 = 4a/3$ and $\omega^2 = 3g/2a$ | B1 |
---
**Finding time $t_2$ to fall from $a$ to $3a$ below A:**
$[-]\ e = x_0\cos\omega t_2$ | M1 |
$t_2 = \sqrt{(2a/3g)}\cos^{-1}(-\frac{1}{2})$ (A.E.F.) | A1 |
---
**Finding total time $t_1 + t_2$:**
$\sqrt{(2a/g)} + (2\pi/3)\sqrt{(2a/3g)}$ **A.G.** | A1 | 8 marks, 14 total
---
# Question 10(b):
**Finding 4 summations required:**
$\Sigma x = 12 + p$, $\Sigma x^2 = 38 + p^2$
$\Sigma y = 23$, $[\Sigma y^2 = 125]$
$\Sigma xy = 63 + 2p$ | M1 |
---
**EITHER: Substitute $b_1 = 1$ in formula for gradient:**
$63 + 2p - (12+p)\times 23/5$
$= 38 + p^2 - (12+p)^2/5$
or $39 - 13p = 4p^2 - 24p + 46$ | M1 A1 A1 | A1 for each side
---
**OR: Substitute in normal equations:**
$5k + (12+p) = 23$ and $(12+p)k + (38+p^2) = 63 + 2p$ | (M1 A1 A1) | A1 for each equation
---
**Obtain and solve quadratic for p (A.E.F):**
$0.8p^2 - 2.2p + 1.4 = 0$
or $4p^2 - 11p + 7 = 0$ | M1 A1 |
$p = 1,\ 1.75$ (or $7/4$) | A1, A1 | 8 marks total
---
# Question 10(b)(i):
**Finding equation for correlation coefficient with $p = 1$:**
**EITHER:**
$r = (65 - 13\times 23/5)\ /\ \sqrt{\{(39 - 13^2/5)(125 - 23^2/5)\}}$ | M1 A1 |
$= 5.2\ /\ \sqrt{(5.2\times 19.2)}$ or $1.04\ /\ \sqrt{(1.04\times 3.84)}$
**OR:**
$r^2 = 1\times(65 - 13\times 23/5)/(125 - 23^2/5)$
or $1\times(39 - 13^2/5)/(125 - 23^2/5)$
$= 5.2/19.2$ or $1.04/3.84$ | M1 A1 |
**Evaluate r:**
$r = \sqrt{39/12}$ or $0.52$ | A1 | 3 marks total
---
# Question 10(b)(ii):
**EITHER: Recall or find gradient $b_2$ of line:**
$b_2 = 5.2/19.2$ or $r^2\ [= 0.2708]$ | M1 |
**Find regression line of x on y:**
$x - 13/5 = b_2(y - 23/5)$
$x = (13/48)y + 65/48$
or $0.271y + 1.35$ | M1, A1 |
---
**OR: Use normal equations for $x = a_2 + b_2 y$:**
$5a_2 + 23b_2 = 13$ and $23a_2 + 125b_2 = 65$ | (M1), (M1) |
**Solve for $a_2$, $b_2$:**
$b_2 = 13/48$ or $0.271$
And $a_2 = 65/48$ or $1.35$ | (A1) | 3 marks, 14 total
The regression line of $y$ on $x$, obtained from a random sample of five pairs of values of $x$ and $y$, has equation
$$y = x + k$$
where $k$ is a constant. The following table shows the data.
\begin{center}
\begin{tabular}{ | c | c | c | c | c | c | }
\hline
$x$ & 2 & 3 & 3 & 4 & $p$ \\
\hline
$y$ & 4 & 5 & 8 & 4 & 2 \\
\hline
\end{tabular}
\end{center}
Find the two possible values of $p$.
For the smaller of these two values of $p$, find\\
(i) the product moment correlation coefficient,\\
(ii) the equation of the regression line of $x$ on $y$.
\hfill \mbox{\textit{CAIE FP2 2013 Q10 OR}}