The table shows experimental values of two variables, and .
0.5 1.0 1.5 2.0 15.9 19.1 23.4 30.2
It is known that and are related by the equation .
| 0.5 | 1.0 | 1.5 | 2.0 | |
|---|---|---|---|---|
| 15.9 | 19.1 | 23.4 | 30.2 |
- (i)
On Pg 11, draw the graph of against .
On Pg 11, draw the graph of against .
- (ii)
Use your graph in (i) to estimate the value of and of .
- (iii)
By drawing a suitable line on your graph, solve the equation .
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Worked solution
7(i)
1. Calculate the values of $\lg(y-10)$ for each given $x$.
For ,
For ,
For ,
For ,
2. Plot the points and draw the line of best fit.
Plot the points , , , and on the grid and draw a straight line passing through or close to all points.
A straight line graph plotted with points , , , .
7(ii)
1. Express the given equation in linear form
2. Identify the gradient and Y-intercept from the linear form
Comparing with :
Gradient
-intercept
3. Calculate the gradient and Y-intercept from the data points
Using points and :
Gradient
-intercept
4. Solve for A and b
(Note: Values depend on the line of best fit drawn in part (i). Using the first and last points directly gives . A typical line of best fit might yield .)
,
7(iii)
1. Relate the given equation to the variables plotted on the graph
The original equation is , which gives .
The equation to solve is .
Substituting for , we get .
2. Transform the equation to match the vertical axis of the graph
Take the common logarithm () of both sides:
3. Identify the line to draw and state the solution
Draw the straight line (where and ) on the same graph.
The -coordinate of the point of intersection between this line and the original graph gives the solution.
From the graph, .
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