| Exam Board | AQA |
|---|---|
| Module | Paper 1 (Paper 1) |
| Year | 2021 |
| Session | June |
| Marks | 15 |
| Paper | Download PDF ↗ |
| Mark scheme | Download PDF ↗ |
| Topic | Exponential Equations & Modelling |
| Type | log(y) vs x: convert and interpret |
| Difficulty | Moderate -0.3 This is a standard log-linear modelling question requiring routine techniques: taking logs to linearize (part a is just algebraic manipulation), calculating log values, plotting points, finding gradient and intercept from a graph, and making predictions. While multi-part with several marks, each step follows a well-practiced procedure with no novel problem-solving required, making it slightly easier than average. |
| Spec | 1.06h Logarithmic graphs: reduce y=ax^n and y=kb^x to linear form1.06i Exponential growth/decay: in modelling context2.02c Scatter diagrams and regression lines2.02d Informal interpretation of correlation |
| Year | 1980 | 1985 | 1990 | 1995 | 2000 | 2005 |
| \(\boldsymbol { P }\) | 75 | 94 | 120 | 156 | 206 | 260 |
| \(\boldsymbol { t }\) | 0 | 5 | 10 | 15 | 20 | 25 |
| \(\boldsymbol { \operatorname { l o g } } _ { \mathbf { 1 0 } } \boldsymbol { P }\) | 1.88 | 1.97 | 2.08 | 2.31 |
| Answer | Marks | Guidance |
|---|---|---|
| Answer/Working | Mark | Guidance |
| Takes \(\log_{10}\) of both sides to obtain \(\log_{10} P = \log_{10}(A \times 10^{kt})\) | M1 (1.1a) | Or states that \(A = 10^c\) |
| \(\log_{10} P = \log_{10} A + \log_{10} 10^{kt}\), or \(P = 10^{kt+c}\) | A1 (1.1b) | |
| Completes rigorous argument to show \(\log_{10} P = \log_{10} A + kt\), or \(\log_{10} P = kt + c\) | R1 (2.1) |
| Answer | Marks | Guidance |
|---|---|---|
| Answer/Working | Mark | Guidance |
| Completes table: \(t\): 0, 5, 10, 15, 20, 25; \(\log_{10} P\): 1.88, 1.97, 2.08, 2.19, 2.31, 2.41 | B1 (1.1b) |
| Answer | Marks | Guidance |
|---|---|---|
| Answer/Working | Mark | Guidance |
| Plots at least four points correctly | M1 (1.1a) | Allow \(\pm\) one small square |
| Draws a ruled line of best fit from \(t=0\) to \(t=25\) or better | A1 (1.1b) | CSO |
| Answer | Marks | Guidance |
|---|---|---|
| Answer/Working | Mark | Guidance |
| Calculates gradient: \(k = \frac{2.41 - 1.88}{25} = 0.0212 \approx 0.02\) | M1 (1.1a) | Using line of best fit or two points from table of values |
| Obtains a value of \(k\) which rounds to \(0.02\) | R1 (1.1b) |
| Answer | Marks | Guidance |
|---|---|---|
| Answer/Working | Mark | Guidance |
| \(A = 75\) | B1F (2.2b) | Infers value of \(A\); uses 75 from data or uses \(10^{\text{their intercept}}\) |
| Answer | Marks | Guidance |
|---|---|---|
| Answer/Working | Mark | Guidance |
| Substitutes \(t = 50\) into \(P = A \times 10^{0.02t}\): \(P = 75 \times 10^{0.02 \times 50}\) | M1 (3.4) | PI by 750 |
| 750 million tonnes | A1F (3.2a) | Follow through on their \(70 < A < 90\) |
| Answer | Marks | Guidance |
|---|---|---|
| Answer/Working | Mark | Guidance |
| Forms equation: \(8000 = 75 \times 10^{0.02t}\), \(t = 101.401\) | M1 (3.4) | Using their model \(P = A \times 10^{0.02t}\) and \(P = 8000\) |
| \(t = 101.4\); AWFW [97.44, 102.90] | A1F (1.1b) | |
| 2082 | A1F (3.2a) | Interprets as year: integer part of \(t\) + 1980 + 1, provided their \(t > 50\) |
| Answer | Marks | Guidance |
|---|---|---|
| Answer/Working | Mark | Guidance |
| E.g. "The world will produce less plastics to be more environmentally friendly" | E1 (3.5b) | Gives a reason in context why the model for production of plastics will be inappropriate; e.g. it is not appropriate to extrapolate future global production from data provided; global production may decrease in future |
## Question 9(a):
| Answer/Working | Mark | Guidance |
|---|---|---|
| Takes $\log_{10}$ of both sides to obtain $\log_{10} P = \log_{10}(A \times 10^{kt})$ | M1 (1.1a) | Or states that $A = 10^c$ |
| $\log_{10} P = \log_{10} A + \log_{10} 10^{kt}$, or $P = 10^{kt+c}$ | A1 (1.1b) | |
| Completes rigorous argument to show $\log_{10} P = \log_{10} A + kt$, or $\log_{10} P = kt + c$ | R1 (2.1) | |
**Subtotal: 3 marks**
---
## Question 9(b)(i):
| Answer/Working | Mark | Guidance |
|---|---|---|
| Completes table: $t$: 0, 5, 10, 15, 20, 25; $\log_{10} P$: 1.88, 1.97, 2.08, 2.19, 2.31, 2.41 | B1 (1.1b) | |
**Subtotal: 1 mark**
---
## Question 9(b)(ii):
| Answer/Working | Mark | Guidance |
|---|---|---|
| Plots at least four points correctly | M1 (1.1a) | Allow $\pm$ one small square |
| Draws a ruled line of best fit from $t=0$ to $t=25$ or better | A1 (1.1b) | CSO |
**Subtotal: 2 marks**
---
## Question 9(c)(i):
| Answer/Working | Mark | Guidance |
|---|---|---|
| Calculates gradient: $k = \frac{2.41 - 1.88}{25} = 0.0212 \approx 0.02$ | M1 (1.1a) | Using line of best fit or two points from table of values |
| Obtains a value of $k$ which rounds to $0.02$ | R1 (1.1b) | |
**Subtotal: 2 marks**
---
## Question 9(c)(ii):
| Answer/Working | Mark | Guidance |
|---|---|---|
| $A = 75$ | B1F (2.2b) | Infers value of $A$; uses 75 from data or uses $10^{\text{their intercept}}$ |
**Subtotal: 1 mark**
---
## Question 9(d):
| Answer/Working | Mark | Guidance |
|---|---|---|
| Substitutes $t = 50$ into $P = A \times 10^{0.02t}$: $P = 75 \times 10^{0.02 \times 50}$ | M1 (3.4) | PI by 750 |
| 750 million tonnes | A1F (3.2a) | Follow through on their $70 < A < 90$ |
**Subtotal: 2 marks**
---
## Question 9(e):
| Answer/Working | Mark | Guidance |
|---|---|---|
| Forms equation: $8000 = 75 \times 10^{0.02t}$, $t = 101.401$ | M1 (3.4) | Using their model $P = A \times 10^{0.02t}$ and $P = 8000$ |
| $t = 101.4$; AWFW [97.44, 102.90] | A1F (1.1b) | |
| 2082 | A1F (3.2a) | Interprets as year: integer part of $t$ + 1980 + 1, provided their $t > 50$ |
**Subtotal: 3 marks**
---
## Question 9(f):
| Answer/Working | Mark | Guidance |
|---|---|---|
| E.g. "The world will produce less plastics to be more environmentally friendly" | E1 (3.5b) | Gives a reason in context why the model for production of plastics will be inappropriate; e.g. it is not appropriate to extrapolate future global production from data provided; global production may decrease in future |
**Subtotal: 1 mark**
**Question 9 Total: 15 marks**
9 The table below shows the annual global production of plastics, $P$, measured in millions of tonnes per year, for six selected years.
\begin{center}
\begin{tabular}{ | l | c | c | c | c | c | c | }
\hline
Year & 1980 & 1985 & 1990 & 1995 & 2000 & 2005 \\
\hline
$\boldsymbol { P }$ & 75 & 94 & 120 & 156 & 206 & 260 \\
\hline
\end{tabular}
\end{center}
It is thought that $P$ can be modelled by
$$P = A \times 10 ^ { k t }$$
where $t$ is the number of years after 1980 and $A$ and $k$ are constants.\\
9
\begin{enumerate}[label=(\alph*)]
\item Show algebraically that the graph of $\log _ { 10 } P$ against $t$ should be linear.\\
9
\item (i) Complete the table below.
\begin{center}
\begin{tabular}{ | l | c | c | c | c | c | c | }
\hline
$\boldsymbol { t }$ & 0 & 5 & 10 & 15 & 20 & 25 \\
\hline
$\boldsymbol { \operatorname { l o g } } _ { \mathbf { 1 0 } } \boldsymbol { P }$ & 1.88 & 1.97 & 2.08 & & 2.31 & \\
\hline
\end{tabular}
\end{center}
9 (b) (ii) Plot $\log _ { 10 } P$ against $t$, and draw a line of best fit for the data.\\
\includegraphics[max width=\textwidth, alt={}, center]{042e248a-9efa-4844-957d-f05715900ffc-13_1203_1308_360_367}
9
\item (i) Hence, show that $k$ is approximately 0.02\\
9 (c) (ii) Find the value of $A$.\\
9
\item Using the model with $k = 0.02$ predict the number of tonnes of annual global production of plastics in 2030.
9
\item Using the model with $k = 0.02$ predict the year in which $P$ first exceeds 8000\\
9
\item Give a reason why it may be inappropriate to use the model to make predictions about future annual global production of plastics.\\
\includegraphics[max width=\textwidth, alt={}, center]{042e248a-9efa-4844-957d-f05715900ffc-15_2488_1716_219_153}
\end{enumerate}
\hfill \mbox{\textit{AQA Paper 1 2021 Q9 [15]}}