| Exam Board | OCR MEI |
|---|---|
| Module | Paper 2 (Paper 2) |
| Year | 2022 |
| Session | June |
| Marks | 9 |
| Paper | Download PDF ↗ |
| Mark scheme | Download PDF ↗ |
| Topic | Linear regression |
| Type | Comment on reliability/validity of prediction |
| Difficulty | Easy -2.0 This is a statistics question requiring only basic interpretation of linear models, extrapolation reliability, and reading scatter diagrams. Part (a) is simple substitution into a given equation. Parts (b-d) require only qualitative reasoning about data reliability and trends, with no calculations or technical statistical methods needed. This is well below average difficulty for A-level maths. |
| Spec | 2.02c Scatter diagrams and regression lines |
| Answer | Marks | Guidance |
|---|---|---|
| 15 | (a) | 51.635 or 51.64 or 51.6 |
| Answer | Marks | Guidance |
|---|---|---|
| 15 | (b) | 1995 estimate (probably) reliable since it is |
| Answer | Marks |
|---|---|
| is extrapolation | B1 |
| B1 | 2.2b |
| 2.2b | allow eg the first estimate.. |
| Answer | Marks | Guidance |
|---|---|---|
| 15 | (c) | No, because trends in life expectancy at birth |
| may vary considerably between nations | B1 | 2.4 |
| Answer | Marks | Guidance |
|---|---|---|
| 15 | (d) | series 2 (the top one) is Italy – life |
| Answer | Marks |
|---|---|
| (than most developed countries) | B1 |
| B1 | 2.4 |
| 2.4 | LDS advantage |
| Answer | Marks | Guidance |
|---|---|---|
| 15 | (e) | Scatter diagram of life expectancy at |
| Answer | Marks | Guidance |
|---|---|---|
| efiL GDP per capita in US $ | B1 | 1.1 |
| Answer | Marks | Guidance |
|---|---|---|
| 15 | (f) | the diagram supports this statement for |
| Answer | Marks |
|---|---|
| statement for these values | B1 |
| B1 | 2.3 |
| 2.2b | must give specific range of values ; must say supports |
| Answer | Marks | Guidance |
|---|---|---|
| x | ‒2.1 | (‒2) |
| Answer | Marks | Guidance |
|---|---|---|
| 𝑑𝑥 | ‒16.224 | (0) |
| Answer | Marks |
|---|---|
| 6 | M1 |
| Answer | Marks |
|---|---|
| A1 | 3.1a |
| Answer | Marks |
|---|---|
| 1.1 | x 0 (½) 1 |
Question 15:
15 | (a) | 51.635 or 51.64 or 51.6 | B1 | 3.4
[1]
15 | (b) | 1995 estimate (probably) reliable since it is
interpolation
2025 estimate (probably) not reliable since it
is extrapolation | B1
B1 | 2.2b
2.2b | allow eg the first estimate..
allow eg the second estimate…
[2]
15 | (c) | No, because trends in life expectancy at birth
may vary considerably between nations | B1 | 2.4 | LDS advantage
[1]
15 | (d) | series 2 (the top one) is Italy – life
expectancy (generally) higher in Europe
(than Africa)
the values are decreasing (from 1990) in
South Africa (– unusual since most show an
upward trend)
or little (or no) overall increase in South
Africa (since 1970)
or South Africa has lower life expectancy
(than most developed countries) | B1
B1 | 2.4
2.4 | LDS advantage
LDS advantage
[2]
15 | (e) | Scatter diagram of life expectancy at
birth in 2010
against GDP per capita in US $
90.00
ni
80.00
htrib
70.00
ta
60.00
ycnatcepxe 0102
50.00
40.00
0 50000 100000 150000
efiL GDP per capita in US $ | B1 | 1.1 | Point at (700, 47.56) ringed
LDS advantage
[1]
15 | (f) | the diagram supports this statement for
values of GDP per capita from k to n where
0 < k ≤ 20 000 and 40 000 ≤ n ≤ 60 000
since there appears to be positive correlation
oe
for values of GDP per capita ≥ K
where 40 000 ≤ K ≤ 60 000
there appears to be no association between
GDP per capita and life expectancy at birth
so the diagram does not support Sundip’s
statement for these values | B1
B1 | 2.3
2.2b | must give specific range of values ; must say supports
statement oe
the range may be implied by reference to a specific range
identified for the first mark; must say does not support
statement oe
[2]
x | ‒2.1 | (‒2) | ‒1.9
𝑑𝑦
𝑑𝑥 | ‒16.224 | (0) | 13.824
x 0 (½) 1
eg 𝑑𝑦 12 (0) 18
𝑑𝑥
dependent on at least two terms correct in
derivative; must see values
1 31
inflection at ( ,− )
2 8
their 72𝑥2 +48𝑥−42 = 0
7
x = − isw
6 | M1
A1
M1dep*
A1 | 3.1a
3.2a
1.1
1.1 | x 0 (½) 1
or eg
y ‒6 (−3.875) ‒1
or eg
x 0 (½) 1
𝑑²𝑦 ‒42 (0) 78
𝑑𝑥²
values in table must be correct
ignore calculation of associated y-value
allow any correct decimals to 3 sf or more
[12]
The pre-release material includes information on life expectancy at birth in countries of the world. Fig. 15.1 shows the data for Liberia, which is in Africa, together with a time series graph.
\includegraphics{figure_15_1}
Sundip uses the LINEST function on a spreadsheet to model life expectancy as a function of calendar year by a straight line.
The equation of this line is $L = 0.473y - 892$, where $L$ is life expectancy at birth and $y$ is calendar year.
\begin{enumerate}[label=(\alph*)]
\item Use this model to find an estimate of the life expectancy at birth in Liberia in 1995. [1]
\end{enumerate}
According to the model, the life expectancy at birth in Liberia in 2025 is estimated to be 65.83 years.
\begin{enumerate}[label=(\alph*)]
\setcounter{enumi}{1}
\item Explain whether each of these two estimates is likely to be reliable. [2]
\item Use your knowledge of the pre-release material to explain whether this model could be used to obtain a reliable estimate of the life expectancy at birth in other countries in 1995. [1]
\end{enumerate}
Fig. 15.2 shows the life expectancy at birth between 1960 and 2010 for Italy and South Africa.
\includegraphics{figure_15_2}
\begin{enumerate}[label=(\alph*)]
\setcounter{enumi}{3}
\item Use your knowledge of the pre-release material to
\begin{itemize}
\item Explain whether series 1 or series 2 represents the data for Italy.
\item Explain how the data for South Africa differs from the data for most developed countries.
\end{itemize}
[2]
\end{enumerate}
Sundip is investigating whether there is an association between the wealth of a country and life expectancy at birth in that country. As part of her analysis she draws a scatter diagram of GDP per capita in US\$ and life expectancy at birth in 2010 for all the countries in Europe for which data is available. She accidentally includes the data for the Central African Republic. The diagram is shown in Fig. 15.3.
\includegraphics{figure_15_3}
\begin{enumerate}[label=(\alph*)]
\setcounter{enumi}{4}
\item On the copy of Fig. 15.3 in the Printed Answer Booklet, use your knowledge of the pre-release material to circle the point representing the data for the Central African Republic. [1]
\end{enumerate}
Sundip states that as GDP per capita increases, life expectancy at birth increases.
\begin{enumerate}[label=(\alph*)]
\setcounter{enumi}{5}
\item Explain to what extent the information in Fig. 15.3 supports Sundip's statement. [2]
\end{enumerate}
\hfill \mbox{\textit{OCR MEI Paper 2 2022 Q15 [9]}}