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6.6

Use logarithmic graphs to estimate parameters in relationships of the form y = axⁿ and y = kbˣ, given data for x and y.

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Logarithmic graphs for modelling

Worked answers and methods for 6.6 on Edexcel A-level Maths 9MA0.

Explanation

  • For y=axny=ax^n, taking logarithms gives logy=loga+nlogx\log y=\log a+n\log x, so a plot of logy\log y against logx\log x has gradient nn and intercept loga\log a.
  • For y=kbxy=kb^x, logy=logk+xlogb\log y=\log k+x\log b, so a plot of logy\log y against xx has gradient logb\log b and intercept logk\log k.
  • Read two well-separated points from the fitted line, calculate its gradient and intercept, then undo the chosen logarithm base to recover aa, kk or bb.
  • The transformed coordinates and the logarithm base must be identified: confusing a log-log graph with a semi-log graph, or forgetting to exponentiate the intercept, gives incorrect parameters.
For y=axny=ax^n, plotting logy\log y against logx\log x gives a straight line with gradient nn and intercept loga\log a.

Worked example

For a model y=axny=ax^n, a fitted graph of log10y\log_{10}y against log10x\log_{10}x passes through (0.2,0.65)(0.2,0.65) and (0.8,1.55)(0.8,1.55). Estimate aa and nn, then predict yy when x=5x=5.

  1. 1.The gradient is n=(1.550.65)/(0.80.2)=1.5n=(1.55-0.65)/(0.8-0.2)=1.5.
  2. 2.Using (0.2,0.65)(0.2,0.65), the intercept is log10a=0.651.5(0.2)=0.35\log_{10}a=0.65-1.5(0.2)=0.35, so a=100.35=2.2387a=10^{0.35}=2.2387\ldots.
  3. 3.Thus at x=5x=5, y=2.2387(51.5)=25.030y=2.2387\ldots(5^{1.5})=25.030\ldots, giving about 25.025.0.

Answer: n=1.5n=1.5 a2.24a\approx2.24 y25.0y\approx25.0

Common mistakes

  • Don't use the intercept itself as aa or kk instead of undoing the logarithm.
  • Don't plot (logx,logy)(\log x,\log y) for an exponential model y=kbxy=kb^x, which requires (x,logy)(x,\log y).

Exam tip

Name the transformed axes, then identify exactly which model parameter is the gradient and which is obtained from the intercept.

Worked practice

Q1
Tier 1 · Easy

1.

A straight-line fit on base-1010 logarithmic axes has equation log10y=0.4+1.7log10x\log_{10}y=0.4+1.7\log_{10}x. State the corresponding model y=axny=ax^n, giving aa to 33 significant figures.

(3)

(Total for Question 1 is 3 marks)

Mark scheme

Mark scheme for question 1
QuestionSchemeMarks
1
  • y=2.51x1.7y=2.51x^{1.7}
3
Notes
Comparing with log10y=log10a+nlog10x\log_{10}y=\log_{10}a+n\log_{10}x gives n=1.7n=1.7 and log10a=0.4\log_{10}a=0.4. Hence a=100.4=2.511a=10^{0.4}=2.511\ldots, so y=2.51x1.7y=2.51x^{1.7}.

(3 marks)

Q2
Tier 2 · Standard

2.

For a model y=kbxy=kb^x, a fitted graph of lny\ln y against xx passes through (2,1.3)(2,1.3) and (6,2.5)(6,2.5). Estimate kk and bb to 33 significant figures, then predict yy when x=4x=4.

(5)

(Total for Question 2 is 5 marks)

Mark scheme

Mark scheme for question 2
QuestionSchemeMarks
2
  • k2.01k\approx2.01
  • b1.35b\approx1.35
  • y6.69y\approx6.69 when unrounded parameter values are carried; y6.68y\approx6.68 is also accepted if the stated 33 s.f. values k=2.01k=2.01 and b=1.35b=1.35 are used
5
Notes
The straight-line form is lny=lnk+xlnb\ln y=\ln k+x\ln b. Its gradient is (2.51.3)/(62)=0.3(2.5-1.3)/(6-2)=0.3, so b=e0.3=1.3498b=e^{0.3}=1.3498\ldots. The intercept is 1.30.3(2)=0.71.3-0.3(2)=0.7, so k=e0.7=2.0137k=e^{0.7}=2.0137\ldots. Prefer carrying these unrounded values: at x=4x=4, lny=0.7+0.3(4)=1.9\ln y=0.7+0.3(4)=1.9, so y=e1.9=6.68586.69y=e^{1.9}=6.6858\ldots\approx6.69. However, following the instruction to use the reported 33 s.f. parameters gives y=2.01(1.35)4=6.6766.68y=2.01(1.35)^4=6.676\ldots\approx6.68, which is also valid.

(5 marks)

Q3
Tier 3 · Hard

3.

An exponential relationship y=kbxy=kb^x is analysed by plotting lny\ln y against xx. The fitted line goes through (1,2.1)(1,2.1) and (5,3.7)(5,3.7). Find kk and bb to 33 significant figures, and estimate yy at x=3x=3.

(6)

(Total for Question 3 is 6 marks)

Mark scheme

Mark scheme for question 3
QuestionSchemeMarks
3
  • k=5.47k=5.47
  • b=1.49b=1.49
  • y18.2y\approx18.2
6
Notes
The straight-line form is lny=lnk+xlnb\ln y=\ln k+x\ln b. Its gradient is (3.72.1)/(51)=0.4(3.7-2.1)/(5-1)=0.4, so lnb=0.4\ln b=0.4 and b=e0.4=1.4918b=e^{0.4}=1.4918\ldots. The intercept is 2.10.4(1)=1.72.1-0.4(1)=1.7, so k=e1.7=5.4739k=e^{1.7}=5.4739\ldots. At x=3x=3, lny=1.7+0.4(3)=2.9\ln y=1.7+0.4(3)=2.9, giving y=e2.9=18.174y=e^{2.9}=18.174\ldots.

(6 marks)

Q4
Tier 1 · Easy

4.

A relationship is believed to have the form y=kbxy=kb^x. State the quantities that should be plotted to obtain a straight line, and state what its gradient and vertical-axis intercept represent when natural logarithms are used.

(3)

(Total for Question 4 is 3 marks)

Mark scheme

Mark scheme for question 4
QuestionSchemeMarks
4
  • Plot lny\ln y against xx
  • Gradient =lnb=\ln b and vertical-axis intercept =lnk=\ln k
3
Notes
Taking logarithms gives lny=lnk+xlnb\ln y=\ln k+x\ln b. This is linear in xx, so plotting lny\ln y vertically against xx horizontally gives gradient lnb\ln b and intercept lnk\ln k.

(3 marks)

Q5
Tier 2 · Standard

5.

For a model y=kbxy=kb^x, the fitted straight line has equation log10y=0.52+0.28x\log_{10}y=0.52+0.28x. Estimate kk and bb to 33 significant figures. Hence find the value of xx for which y=50y=50, giving xx to 33 significant figures.

(5)

(Total for Question 5 is 5 marks)

Mark scheme

Mark scheme for question 5
QuestionSchemeMarks
5
  • k=3.31k=3.31
  • b=1.91b=1.91
  • x=4.21x=4.21
5
Notes
Comparing with log10y=log10k+xlog10b\log_{10}y=\log_{10}k+x\log_{10}b gives k=100.52=3.31131k=10^{0.52}=3.31131\ldots and b=100.28=1.90546b=10^{0.28}=1.90546\ldots. When y=50y=50, log1050=0.52+0.28x\log_{10}50=0.52+0.28x, so x=(log10500.52)/0.28=4.21061x=(\log_{10}50-0.52)/0.28=4.21061\ldots.

(5 marks)

Q6
Tier 3 · Hard

6.

A relationship is modelled by y=axny=ax^n. Because of a rescaled vertical axis, the fitted line is log10(2y)=1.40.8log10x\log_{10}(2y)=1.4-0.8\log_{10}x. Find aa and nn, giving aa to 33 significant figures. Hence estimate the value of xx when y=4y=4, giving xx to 33 significant figures. Use unrounded values in your working.

(6)

(Total for Question 6 is 6 marks)

Mark scheme

Mark scheme for question 6
QuestionSchemeMarks
6
  • a=12.6a=12.6
  • n=0.8n=-0.8
  • x=4.18x=4.18
6
Notes
Since log10(2y)=log102+log10a+nlog10x\log_{10}(2y)=\log_{10}2+\log_{10}a+n\log_{10}x, the gradient gives n=0.8n=-0.8 and the intercept gives log10(2a)=1.4\log_{10}(2a)=1.4. Hence a=101.4/2=12.5594a=10^{1.4}/2=12.5594\ldots. When y=4y=4, log108=1.40.8log10x\log_{10}8=1.4-0.8\log_{10}x, so x=(101.4/8)1/0.8=4.17963x=(10^{1.4}/8)^{1/0.8}=4.17963\ldots.

(6 marks)

Q7
Tier 2 · Standard

7.

For a model y=axny=ax^n, a fitted graph of log10y\log_{10}y against log10x\log_{10}x passes through (1,1.2)(-1,1.2) and (2,3.0)(2,3.0). Find nn and aa, giving aa to 33 significant figures. Find the value of log10y\log_{10}y when log10x=0.5\log_{10}x=0.5.

(5)

(Total for Question 7 is 5 marks)

Mark scheme

Mark scheme for question 7
QuestionSchemeMarks
7
  • n=0.6n=0.6
  • a=63.1a=63.1
  • log10y=2.1\log_{10}y=2.1
5
Notes
The straight-line form is log10y=log10a+nlog10x\log_{10}y=\log_{10}a+n\log_{10}x. Its gradient is n=(3.01.2)/(2(1))=0.6n=(3.0-1.2)/(2-(-1))=0.6. Using (1,1.2)(-1,1.2) gives log10a=1.20.6(1)=1.8\log_{10}a=1.2-0.6(-1)=1.8, so a=101.8=63.0957=63.1a=10^{1.8}=63.0957\ldots=63.1 to 33 significant figures. When log10x=0.5\log_{10}x=0.5, log10y=1.8+0.6(0.5)=2.1\log_{10}y=1.8+0.6(0.5)=2.1.

(5 marks)

Q8
Tier 3 · Hard

8.

Three data pairs are (x,y)=(4,16)(x,y)=(4,16), (9,54)(9,54) and (16,128)(16,128). Use logarithms to decide whether y=axny=ax^n or y=kbxy=kb^x fits all three pairs exactly. Determine the parameters of the chosen model and hence predict yy when x=25x=25.

(6)

(Total for Question 8 is 6 marks)

Mark scheme

Mark scheme for question 8
QuestionSchemeMarks
8
  • The power model fits
  • a=2a=2 and n=32n=\dfrac32
  • y=250y=250 when x=25x=25
6
Notes
For a power model, the gradient between the first two log-log points is ln(54/16)/ln(9/4)=ln(27/8)/ln(9/4)=3/2\ln(54/16)/\ln(9/4)=\ln(27/8)/\ln(9/4)=3/2. Between the next two it is ln(128/54)/ln(16/9)=ln(64/27)/ln(16/9)=3/2\ln(128/54)/\ln(16/9)=\ln(64/27)/\ln(16/9)=3/2 again, so the three log-log points are collinear. In contrast, the semi-log gradients ln(54/16)/(94)\ln(54/16)/(9-4) and ln(128/54)/(169)\ln(128/54)/(16-9) are unequal, so one exponential model does not fit all three pairs. Using (4,16)(4,16) in y=ax3/2y=ax^{3/2} gives 16=8a16=8a, so a=2a=2. Hence at x=25x=25, y=2(253/2)=2(125)=250y=2(25^{3/2})=2(125)=250.

(6 marks)

Q9
Tier 3 · Hard

9.

A relationship has the form y=axny=ax^n, where x>0x>0. Doubling xx multiplies yy by 88, and y=20y=20 when x=2x=2. Determine aa and nn. Write the corresponding straight-line equation for a graph of log10y\log_{10}y against log10x\log_{10}x, and find xx when y=540y=540.

(6)

(Total for Question 9 is 6 marks)

Mark scheme

Mark scheme for question 9
QuestionSchemeMarks
9
  • a=52a=\dfrac52 and n=3n=3
  • log10y=log10 ⁣(52)+3log10x\log_{10}y=\log_{10}\!\left(\dfrac52\right)+3\log_{10}x
  • x=6x=6 when y=540y=540
6
Notes
For a power model, y(2x)/y(x)=2ny(2x)/y(x)=2^n. The multiplier 88 gives 2n=82^n=8, so n=3n=3. Using (x,y)=(2,20)(x,y)=(2,20) gives 20=8a20=8a, hence a=5/2a=5/2. Taking base-1010 logarithms gives the stated line. Finally, 540=(5/2)x3540=(5/2)x^3, so x3=216x^3=216 and, since x>0x>0, x=6x=6.

(6 marks)

Q10
Tier 3 · Hard

10.

For positive xx and yy, a fitted graph of log10x\log_{10}x against log10y\log_{10}y has equation log10x=0.4log10y0.2\log_{10}x=0.4\log_{10}y-0.2. Express the relationship in the form y=axny=ax^n, giving aa and nn exactly. Hence predict the exact value of yy when x=40x=40.

(5)

(Total for Question 10 is 5 marks)

Mark scheme

Mark scheme for question 10
QuestionSchemeMarks
10
  • y=10x5/2y=\sqrt{10}\,x^{5/2}, so a=10a=\sqrt{10} and n=52n=\dfrac52
  • y=32000y=32000 when x=40x=40
5
Notes
Rearranging the fitted line gives log10y=2.5log10x+0.5\log_{10}y=2.5\log_{10}x+0.5. Therefore y=100.5x2.5=10x5/2y=10^{0.5}x^{2.5}=\sqrt{10}\,x^{5/2}. At x=40x=40, y=10(40240)=10(1600)(210)=32000y=\sqrt{10}(40^2\sqrt{40})=\sqrt{10}(1600)(2\sqrt{10})=32000.

(5 marks)

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