| Exam Board | OCR MEI |
|---|---|
| Module | AS Paper 1 (AS Paper 1) |
| Year | 2021 |
| Session | November |
| Marks | 10 |
| Paper | Download PDF ↗ |
| Mark scheme | Download PDF ↗ |
| Topic | Exponential Functions |
| Type | Compare or choose between models |
| Difficulty | Moderate -0.8 This is a straightforward modelling question requiring only basic linear algebra (simultaneous equations), substitution into an exponential function, and differentiation. All techniques are routine A-level methods with no problem-solving insight needed, making it easier than average but not trivial due to the multi-part structure. |
| Spec | 1.03a Straight lines: equation forms y=mx+c, ax+by+c=01.06a Exponential function: a^x and e^x graphs and properties1.06i Exponential growth/decay: in modelling context |
| Answer | Marks | Guidance |
|---|---|---|
| \(\frac{200-3}{10-2} = 24.625\) | M1 (AO 3.3) | Attempt to find the gradient of the line |
| \(m = \frac{197}{8} = 24.625\), \(c = -\frac{185}{4} = -46.25\) | A1, A1 (AO 1.1, 1.1) | Each value correct. Accept rounded to 2 or more s.f. Values may be implied by correct equation |
| Answer | Marks | Guidance |
|---|---|---|
| Regression line (BC) for data set \((2, 3)\), \((10, 200)\) | M1 | Using the calculator to find the regression line (may be implied) |
| Answer | Marks | Guidance |
|---|---|---|
| \(m = 24.625\), \(c = -46.25\) | A1, A1 | Each value correct. Accept rounded to 2 or more s.f. Values may be implied by correct equation |
| Answer | Marks | Guidance |
|---|---|---|
| Using \((2, 3)\): \(2m + c = 3\) and using \((10, 200)\): \(10m + c = 200\) | M1 | Attempt to find and solve simultaneous equations (BC) |
| \(m = \frac{197}{8} = 24.625\), \(c = -\frac{185}{4} = -46.25\) | A1, A1 | Each value correct. Accept rounded to 2 or more s.f. |
| Answer | Marks | Guidance |
|---|---|---|
| The number of calls increases by \(24.625\) per day | B1 (AO 3.4) | FT their \(m\). Condone missing units |
| Answer | Marks | Guidance |
|---|---|---|
| When \(t = 1\), \(N = -21.625\) and \(N\) cannot be negative | B1 (AO 3.5b) | Argument from a correct value for \(N\). FT their equation |
| Answer | Marks | Guidance |
|---|---|---|
| When \(t = 2\), \(N = e^{0.53 \times 2} = 2.886 \approx 3\) | M1 (AO 1.1a) | Substitution of both values into the model, soi |
| Answer | Marks | Guidance |
|---|---|---|
| So this is a good model for these two points | E1 (AO 3.4) | Conclusion from correct values |
| Answer | Marks | Guidance |
|---|---|---|
| Rate of increase \(\frac{dN}{dt} = 0.53e^{0.53t}\) | M1 (AO 1.1a) | Using gradient of \(e^{kx} = ke^{kx}\) |
| When \(t = 10\), \(\frac{dN}{dt} = 0.53e^{0.53 \times 10}\) | M1 (AO 1.1a) | Substituting \(t = 10\) into their expression |
| \(106\) new calls per day | B1 (AO 3.4) | cao Allow for gradient found BC or numerical method |
## Question 11:
### Part (a):
**Main Method:**
Line joining $(2, 3)$ to $(10, 200)$ has gradient:
$\frac{200-3}{10-2} = 24.625$ | M1 (AO 3.3) | Attempt to find the gradient of the line
$m = \frac{197}{8} = 24.625$, $c = -\frac{185}{4} = -46.25$ | A1, A1 (AO 1.1, 1.1) | Each value correct. Accept rounded to 2 or more s.f. Values may be implied by correct equation
Equation of the line is $N = 24.625t - 46.25$
---
**Alternative Solution 1:**
Regression line (BC) for data set $(2, 3)$, $(10, 200)$ | M1 | Using the calculator to find the regression line (may be implied)
Regression line is $N = 24.625t - 46.25$
$m = 24.625$, $c = -46.25$ | A1, A1 | Each value correct. Accept rounded to 2 or more s.f. Values may be implied by correct equation
---
**Alternative Solution 2:**
Simultaneous equations:
Using $(2, 3)$: $2m + c = 3$ and using $(10, 200)$: $10m + c = 200$ | M1 | Attempt to find and solve simultaneous equations (BC)
$m = \frac{197}{8} = 24.625$, $c = -\frac{185}{4} = -46.25$ | A1, A1 | Each value correct. Accept rounded to 2 or more s.f.
**[3]**
---
### Part (b):
The number of calls increases by $24.625$ per day | B1 (AO 3.4) | FT their $m$. Condone missing units
**[1]**
---
### Part (c):
When $t = 1$, $N = -21.625$ and $N$ cannot be negative | B1 (AO 3.5b) | Argument from a correct value for $N$. FT their equation
**[1]**
---
### Part (d):
When $t = 2$, $N = e^{0.53 \times 2} = 2.886 \approx 3$ | M1 (AO 1.1a) | Substitution of both values into the model, soi
When $t = 10$, $N = e^{0.53 \times 10} = 200.33 \approx 200$
So this is a good model for these two points | E1 (AO 3.4) | Conclusion from correct values
**[2]**
---
### Part (e):
Rate of increase $\frac{dN}{dt} = 0.53e^{0.53t}$ | M1 (AO 1.1a) | Using gradient of $e^{kx} = ke^{kx}$
When $t = 10$, $\frac{dN}{dt} = 0.53e^{0.53 \times 10}$ | M1 (AO 1.1a) | Substituting $t = 10$ into their expression
$106$ new calls per day | B1 (AO 3.4) | cao Allow for gradient found BC or numerical method
**[3]**
11 On the day that a new consumer product went on sale (day zero), a call centre received 1 call about it. On the 2nd day after day zero the call centre received 3 calls, and on the 10th day after day zero there were 200 calls.
Two models were proposed to model $N$, the number of calls received $t$ days after day zero.\\
Model 1 is a linear model $\mathrm { N } = \mathrm { mt } + \mathrm { c }$.
\begin{enumerate}[label=(\alph*)]
\item Determine the values of $m$ and $c$ which best model the data for 2 days and 10 days after day zero.
\item State the rate of increase in calls according to model 1.
\item Explain why this model is not suitable when $t = 1$.
Model 2 is an exponential model $\mathbf { N } = e ^ { 0.53 t }$.
\item Verify that this is a good model for the number of calls when $t = 2$ and $t = 10$.
\item Determine the rate of increase in calls when $t = 10$ according to model 2 .
\end{enumerate}
\hfill \mbox{\textit{OCR MEI AS Paper 1 2021 Q11 [10]}}