Measured values of xx and yy are given in the following table.
xx1.21.62.02.63.54.5
yy11.16.293.982.361.550.79
It is known that xx and yy are to obey the formula xay=cx^a y = c, where aa and cc are constants to be found.

  1. (i)

    Explain how a straight line graph may be drawn to represent the given formula.

  2. (ii)

    On the grid above, draw the straight line graph for the given data and show that 5 of the readings are a close fit to the formula.

  3. (iii)

    Assuming that xx is correct, state which value of yy appears to be wrong and estimate what it should be to fit the formula.

  4. (iv)

    Find the value of aa and of cc.

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Worked solution

8(i)

1. Take logarithms on both sides of the given equation and expand

xay=cx^a y = c
lg⁡(xay)=lg⁡c\lg(x^a y) = \lg c
alg⁡x+lg⁡y=lg⁡ca \lg x + \lg y = \lg c

2. Rearrange into the linear form $Y = mX + C$ and state the variables to plot

lg⁡y=−alg⁡x+lg⁡c\lg y = -a \lg x + \lg c
This is in the form Y=mX+CY = mX + C, where Y=lg⁡yY = \lg y, X=lg⁡xX = \lg x, gradient m=−am = -a, and YY-intercept C=lg⁡cC = \lg c.
Therefore, a straight line graph can be drawn by plotting lg⁡y\lg y against lg⁡x\lg x.

Answer

Plot a graph of lg⁡y\lg y against lg⁡x\lg x.

8(ii)

1. Calculate the values of $\lg x$ and $\lg y$ (or $\ln x$ and $\ln y$) to 2 decimal places for plotting.

Taking logarithms to base 10:

xx1.21.62.02.63.54.5
yy11.16.293.982.361.550.79
lg⁡x\lg x0.080.200.300.410.540.65
lg⁡y\lg y1.050.800.600.370.19-0.10

2. Plot the points on the grid and draw the line of best fit.

Plot the points (lg⁡x,lg⁡y)(\lg x, \lg y) on the provided grid. Draw a straight line of best fit through the points.

3. Show that 5 of the readings are a close fit.

Observe that 5 of the plotted points lie on or very close to the drawn straight line, while one point (at x=3.5x = 3.5) deviates significantly from the line.

Answer

A straight line graph of lg⁡y\lg y against lg⁡x\lg x is drawn, with 5 points lying on or very close to the line of best fit.

8(iii)

1. Identify the anomalous point from the plotted data

From the graph plotted in part (ii), the point corresponding to x=3.5x = 3.5 and y=1.55y = 1.55 (which gives lg⁡x≈0.544\lg x \approx 0.544 and lg⁡y≈0.190\lg y \approx 0.190) lies significantly off the line of best fit.

2. Estimate the correct value of y from the line of best fit

At x=3.5x = 3.5, lg⁡x=lg⁡3.5≈0.544\lg x = \lg 3.5 \approx 0.544.
Reading from the line of best fit at lg⁡x=0.544\lg x = 0.544, we find lg⁡y≈0.05\lg y \approx 0.05.
Therefore, y=100.05≈1.12y = 10^{0.05} \approx 1.12.

Answer

The wrong value is y=1.55y = 1.55 (at x=3.5x = 3.5). The estimated correct value is y≈1.12y \approx 1.12.

8(iv)

1. Recall the linear form and identify gradient/intercept meaning

From part (i), taking lg⁡\lg of xay=cx^a y = c gives
lg⁡y=−alg⁡x+lg⁡c.\lg y = -a\lg x + \lg c.
Comparing with Y=mX+kY = mX + k (where Y=lg⁡yY=\lg y, X=lg⁡xX=\lg x): the gradient is m=−am = -a and the vertical intercept is k=lg⁡ck = \lg c.

2. Find $a$ from the gradient of the line

Read the gradient from the drawn straight line, e.g. using the points (lg⁡1.2, lg⁡11.1)=(0.079, 1.045)(\lg 1.2,\ \lg 11.1)=(0.079,\ 1.045) and (lg⁡4.5, lg⁡0.79)=(0.653, −0.102)(\lg 4.5,\ \lg 0.79)=(0.653,\ -0.102):
gradient=−0.102−1.0450.653−0.079≈−1.1470.574≈−2.\text{gradient} = \frac{-0.102 - 1.045}{0.653 - 0.079} \approx \frac{-1.147}{0.574} \approx -2.
Since gradient =−a= -a, we get a=2a = 2.

3. Find $c$ from the intercept

Using lg⁡y=−2lg⁡x+lg⁡c\lg y = -2\lg x + \lg c with a good point, e.g. x=2.0, y=3.98x=2.0,\ y=3.98:
lg⁡c=lg⁡y+2lg⁡x=lg⁡3.98+2lg⁡2.0≈0.600+0.602=1.202.\lg c = \lg y + 2\lg x = \lg 3.98 + 2\lg 2.0 \approx 0.600 + 0.602 = 1.202.
c=101.202≈16.c = 10^{1.202} \approx 16.
(Equivalently x2y=cx^2 y = c gives 2.02×3.98≈162.0^2 \times 3.98 \approx 16.)

Answer

a=2a = 2 and c=16c = 16

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