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The table shows approximate values of x and y that satisfy a relationship of the form y = ab^x. Plot 10(y) against x to verify.
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4 stepsQuestion 3:
The table shows approximate values of and that satisfy a relationship of the form .
| 10 | 20 | 35 | 50 | 60 | 80 | |
|---|---|---|---|---|---|---|
| 3.47 | 5.50 | 10.47 | 20.89 | 33.11 | 79.43 |
Linearize the relationship .
Take the logarithm base 10 of both sides:
Using logarithm properties, and :
This equation is in the form of a straight line , where:
(gradient)
(Y-intercept)Create a new table with values for and .
Calculate for each given value (rounded to 3 decimal places for plotting accuracy):
10 20 35 50 60 80 Verify the relationship by drawing a linear graph.
To verify the relationship , plot the points from the table above, i.e., plot on the vertical axis against on the horizontal axis.
- Choose appropriate scales for both axes to accommodate the range of values.
- Plot the six points: , , , , , .
- Draw a line of best fit through these plotted points.
- If the points lie approximately on a straight line, then the relationship is verified. Observing the calculated points, they appear to form a nearly straight line.
Find the approximate values of constants and using the graph.
From the line of best fit drawn in Step 3, determine its gradient () and Y-intercept ().
Let's use two points from the line of best fit to calculate the gradient and Y-intercept. For demonstration, we'll use the first and last transformed data points as if they were read from the line of best fit: and .Calculate the gradient :
Calculate the Y-intercept using the equation and one of the points, e.g., :
Now, relate and back to and :
Substitute the calculated values for and :
Rounding the answers to 2 decimal places:
The approximate values of the constants are .
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