Six original Cambridge-style questions on scatter diagrams, correlation and lines of best fit.
State the type of correlation you would expect between
(a) the outside temperature and the cost of heating a house (b) the length of a person's foot and their height (c) a person's house number and their mass.
Hours of revision \(x\) and test mark \(y\) for 8 students:
\(x\): 1, 2, 3, 4, 5, 6, 7, 8 \(y\): 31, 40, 41, 50, 52, 61, 63, 70
(a) Calculate the mean point. (b) Describe the correlation.
For the data in the previous question, a line of best fit passes through (2, 38) and (8, 68).
(a) Use the line to estimate the mark for 5 hours of revision. (b) Estimate the hours of revision for a mark of 60.
A student uses the same line to predict the mark for 15 hours of revision. Give two reasons why this prediction is unreliable.
The heights (cm) and masses (kg) of 7 students are (150, 45), (155, 49), (160, 52), (165, 30), (170, 61), (175, 64), (180, 70). Identify the outlier and say whether it should be used when drawing the line of best fit.
A town council finds strong positive correlation between the number of fire engines sent to a fire and the cost of the damage. A councillor says: 'Sending fewer fire engines would reduce the damage.'
(a) What does the positive correlation mean in context? (b) Explain why the councillor is wrong.
Mark this once you have attempted all six and checked your working. It records a Practiced badge on the topic and adds a one-time bonus. Revealing the solutions alone does not count.