OCR MEI C2 — Question 10 12 marks

Exam BoardOCR MEI
ModuleC2 (Core Mathematics 2)
Marks12
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicLaws of Logarithms
TypeModel y=ax^b: linearise and find constants from graph/data
DifficultyModerate -0.3 This is a standard logarithmic modeling question requiring students to linearize a power law relationship and extract parameters from data. Part (i) is routine algebraic manipulation, part (ii) involves plotting and reading from a graph (standard C2 skill), and part (iii) is straightforward substitution. While it requires understanding of logarithms and graph work, it follows a well-established textbook pattern with no novel problem-solving required, making it slightly easier than average.
Spec1.02z Models in context: use functions in modelling1.06h Logarithmic graphs: reduce y=ax^n and y=kb^x to linear form

10 A function \(y = \mathrm { f } ( x )\) may be modelled by the equation \(y = a x ^ { b }\).
  1. Show why, if this is so, then plotting \(\log y\) against \(\log x\) will produce a straight line graph. Explain how \(a\) and \(b\) may be determined experimentally from the graph.
  2. Values of \(x\) and \(y\) are given below. By plotting a graph of logy against log \(x\), show that the model above is appropriate for this set of data and find values of \(a\) and \(b\) given that \(a\) is an integer and \(b\) can be written as a fraction with a denominator less than 10 .
    \(x\)23456
    \(y\)4.65.05.35.55.7
  3. Use your formula from part (ii) to estimate the value of \(y\) when \(x = 2.8\).

Question 10:
Part (i):
AnswerMarks Guidance
AnswerMarks Guidance
\(y = ax^b \Rightarrow \log y = \log ax^b\)M1
\(\Rightarrow \log y = \log a + \log x^b\), i.e. \(\log y = \log a + b\log x\)A1
This is of the form \(y = mx + c\), so plotting gives a straight line where intercept is \(\log a\) and gradient is \(b\)B1 Explanation [3]
Part (ii):
AnswerMarks Guidance
AnswerMarks Guidance
Correct \(\log x\) values: \(0.3, 0.48, 0.60, 0.70, 0.78\)B1
Correct \(\log y\) values: \(0.66, 0.70, 0.72, 0.74, 0.76\)B1
Correct plotB1
Straight line drawnB1
Straight line so model is appropriateB1
Gradient \(\approx \frac{1}{5} \Rightarrow b = \frac{1}{5}\)B1
Intercept \(\approx 0.6 \Rightarrow a = 4\), i.e. \(y = 4x^{0.2}\)B1 Or substitute if origin not on graph [7]
Part (iii):
AnswerMarks Guidance
AnswerMarks Guidance
\(y = 4\times(2.8)^{0.2} \approx 4.91\)M1, A1 [2]
## Question 10:

### Part (i):

| Answer | Marks | Guidance |
|--------|-------|----------|
| $y = ax^b \Rightarrow \log y = \log ax^b$ | M1 | |
| $\Rightarrow \log y = \log a + \log x^b$, i.e. $\log y = \log a + b\log x$ | A1 | |
| This is of the form $y = mx + c$, so plotting gives a straight line where intercept is $\log a$ and gradient is $b$ | B1 | Explanation **[3]** |

### Part (ii):

| Answer | Marks | Guidance |
|--------|-------|----------|
| Correct $\log x$ values: $0.3, 0.48, 0.60, 0.70, 0.78$ | B1 | |
| Correct $\log y$ values: $0.66, 0.70, 0.72, 0.74, 0.76$ | B1 | |
| Correct plot | B1 | |
| Straight line drawn | B1 | |
| Straight line so model is appropriate | B1 | |
| Gradient $\approx \frac{1}{5} \Rightarrow b = \frac{1}{5}$ | B1 | |
| Intercept $\approx 0.6 \Rightarrow a = 4$, i.e. $y = 4x^{0.2}$ | B1 | Or substitute if origin not on graph **[7]** |

### Part (iii):

| Answer | Marks | Guidance |
|--------|-------|----------|
| $y = 4\times(2.8)^{0.2} \approx 4.91$ | M1, A1 | **[2]** |

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10 A function $y = \mathrm { f } ( x )$ may be modelled by the equation $y = a x ^ { b }$.\\
(i) Show why, if this is so, then plotting $\log y$ against $\log x$ will produce a straight line graph. Explain how $a$ and $b$ may be determined experimentally from the graph.\\
(ii) Values of $x$ and $y$ are given below. By plotting a graph of logy against log $x$, show that the model above is appropriate for this set of data and find values of $a$ and $b$ given that $a$ is an integer and $b$ can be written as a fraction with a denominator less than 10 .

\begin{center}
\begin{tabular}{ | l | l | l | l | l | l | }
\hline
$x$ & 2 & 3 & 4 & 5 & 6 \\
\hline
$y$ & 4.6 & 5.0 & 5.3 & 5.5 & 5.7 \\
\hline
\end{tabular}
\end{center}

(iii) Use your formula from part (ii) to estimate the value of $y$ when $x = 2.8$.

\hfill \mbox{\textit{OCR MEI C2  Q10 [12]}}