Jena is researching fuel consumption in cars - Leaving Cert Mathematics - Question 8 - 2022
Question 8
Jena is researching fuel consumption in cars. She finds the following data for the number of miles per gallon (m/g) for eight different cars, labelled A to H, when d... show full transcript
Worked Solution & Example Answer:Jena is researching fuel consumption in cars - Leaving Cert Mathematics - Question 8 - 2022
Step 1
On the scatterplot, plot and label points to represent cars G and H.
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Answer
To plot cars G and H on the scatterplot, first locate the values for City and Motorway. For car G, the City value is 17 and the Motorway value is 30. For car H, the City value is 18 and the Motorway value is 28. Plot the points at (17, 30) and (18, 28), ensuring they are clearly labeled.
Step 2
On the scatterplot, draw the line of best fit for the data, by eye.
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A reasonable line of best fit should show the general trend of the plotted points. This line should start near the lower left corner of the scatterplot, curving gently upwards towards the upper right to reflect the overall positive correlation between city and motorway miles per gallon.
Step 3
Use your line of best fit to fill in an estimate for each of the two missing values in the table.
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Answer
For car K, with a City value of 20, the Motorway value estimated from the line of best fit would be approximately 38. For car L, with a Motorway value of 60, the City value estimated would be around 33.
Step 4
Based on the data given, would you be more confident in the value you estimated for K or for L? Give a reason for your answer.
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I would be more confident in my value for: K [✓] L [ ]
Reason: The point for car K (20, 38) falls closer to the line of best fit, suggesting a more accurate estimate. Conversely, the estimate for car L is further away from the plotted points, indicating less confidence.
Step 5
Find the value of r, the correlation coefficient between city and motorway miles per gallon.
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To find the correlation coefficient r, we can use the formula:
r=[n∑x2−(∑x)2][n∑y2−(∑y)2]n(∑xy)−(∑x)(∑y)
Plugging in the values calculated from the data above will yield the final answer correct to three decimal places.
Step 6
Give a reason why you might think that r_{FS} is very close to 0.
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Given the scatterplot doesn’t show a clear linear trend, it suggests there is little to no correlation between F and S, indicating that the correlation coefficient r_{FS} is likely to be very close to 0.
Step 7
Find the least value and the greatest value that S could be.
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The mean is 52, so the sum of the scores is 13 * 52 = 676. With S and M included, we have: 534 + S + M = 676, therefore S + M = 142.
The median is 54, meaning S must be less than 54 and both S and M must be distinct from the other scores. Hence, the least value for S could be 55, and the greatest value could be 87.
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