Scatter graphs and predictions
8 exam-style questions, grades 2 to 6. Worked solutions and the marks are on the last page.
- Question 1
Each part describes two variables.
(a) The age of a car and its value. What type of correlation would you expect?
(b) The shoe sizes of 30 adults and their scores in the same spelling test. What type of correlation would you expect?
- Question 2
(a) A scatter graph compares the ages and resale prices of 40 bicycles. The points show strong negative correlation. No experiment was carried out. Which conclusion is supported by this information?
- Question 3
A scatter graph compares study time x hours with a practice score y. Recorded times range from 2 to 12 hours. A line of best fit passes through and .
(a) Use the line to estimate the score for 7 hours.
(b) Explain why using this line at 25 hours is less reliable.
- Question 4
A scatter graph compares study time x hours with a practice score y. Recorded times range from 2 to 12 hours. A line of best fit passes through and .
(a) Find the gradient of the best-fit line.
(b) Does this graph prove that extra study caused higher scores? Explain.
- Question 5
For 12 cars, age x years and value y thousand pounds are plotted on a scatter graph. The line of best fit passes through (1, 16) and (7, 4).
(a) Find the gradient of the line of best fit.
(b) Interpret the gradient in this context.
(c) Use the line to estimate the value, in pounds, of a car that is 5 years old.
- Question 6
A scatter graph shows the hours of sunshine and the number of umbrellas sold by a shop on 20 days. It shows strong negative correlation.
(a) Describe the relationship shown by the graph.
(b) A newspaper says sunshine stops people buying umbrellas. Does the graph prove this? Explain.
(c) One day had 11 hours of sunshine and 45 umbrella sales, far above the other sunny days. What is this point called, and how should it be treated when drawing a line of best fit?
- Question 7
For a sample of cars, the line of best fit for , the stopping distance in metres, against , the speed in m/s, is for speeds from 10 m/s to 30 m/s.
(a) Interpret the gradient 3.2 in this context.
(b) Lily says stopping distance is directly proportional to speed. Is she correct? Give a reason.
(c) Estimate the stopping distance at 20 m/s.
- Question 8
(a) A scatter graph relates the length x cm and mass y g of objects of one type. The observed lengths range from 15 cm to 32 cm. A straight line of best fit passes through (17, 42) and (29, 66). Use the line to estimate the mass of an object of length 24 cm.
Worked solutions and marks
Question 1
(a) Negative
- As age increases, value tends to decrease.
- B1 Correct answer: Negative.
(b) No correlation
- For adults, shoe size and spelling have no link, so expect no correlation.
- B1 Correct answer: No correlation.
Question 2
(a) Older bicycles tend to have lower resale prices.
- Negative correlation means that larger values of one variable tend to go with smaller values of the other.
- Older bicycles tend to have lower resale prices. Correlation alone does not establish the cause of that relationship.
- B1 Correct answer: Older bicycles tend to have lower resale prices.
Question 3
(a)
- Find the gradient from two points on the line.
- Move five hours along the line from x = 2.
- Therefore .
- M1 Find the gradient from two points on the line.
- M1 Move five hours along the line from x = 2.
- A1 Correct answer:
(b) 25 hours lies outside the observed range, so this is extrapolation; the relationship may change beyond the recorded data.
- Therefore 25 hours lies outside the observed range, so this is extrapolation; the relationship may change beyond the recorded data.
- C1 Correct conclusion with supporting reasoning: 25 hours lies outside the observed range, so this is extrapolation; the relationship may change beyond the recorded data.
Question 4
(a)
- Divide change in score by change in study time.
- Therefore .
- M1 Divide change in score by change in study time.
- A1 Correct answer:
(b) No. An observed association does not prove causation; other factors could affect both study time and scores.
- No. An observed association does not prove causation; other factors could affect both study time and scores.
- C1 Correct conclusion with supporting reasoning: No. An observed association does not prove causation; other factors could affect both study time and scores.
Question 5
(a)
- Divide the change in value by the change in age.
- Therefore .
- M1 Divide the change in value by the change in age.
- A1 Correct answer:
(b) The value of a car falls by about £2000 for each extra year of age.
- The value of a car falls by about £2000 for each extra year of age.
- C1 Correct conclusion with supporting reasoning: The value of a car falls by about £2000 for each extra year of age.
(c) £
- Move 4 years along the line from x = 1: the value falls by 2 thousand pounds each year.
- is in thousands of pounds, so the value is £8000.
- M1 Move 4 years along the line from x = 1.
- A1 Correct answer: £
Question 6
(a) On sunnier days the shop tends to sell fewer umbrellas.
- On sunnier days the shop tends to sell fewer umbrellas.
- C1 Correct conclusion with supporting reasoning: On sunnier days the shop tends to sell fewer umbrellas.
(b) No. Correlation does not show cause; rain on days with little sunshine is a more likely reason for umbrella sales.
- No. Correlation does not show cause; rain on days with little sunshine is a more likely reason for umbrella sales.
- C1 Correct conclusion with supporting reasoning: No. Correlation does not show cause; rain on days with little sunshine is a more likely reason for umbrella sales.
(c) It is an outlier. Check it is not a recording error, and do not let it pull the line of best fit away from the pattern of the other points.
- It is an outlier. Check it is not a recording error, and do not let it pull the line of best fit away from the pattern of the other points.
- C1 Correct conclusion with supporting reasoning: It is an outlier. Check it is not a recording error, and do not let it pull the line of best fit away from the pattern of the other points.
Question 7
(a) For each extra 1 m/s of speed, the stopping distance increases by about 3.2 m.
- The gradient is the change in for each increase of 1 in .
- C1 Stopping distance goes up about 3.2 m for each 1 m/s of speed.
(b) No: the line does not pass through the origin (intercept ).
- Direct proportion means : a straight line through .
- This line has intercept , so doubling the speed does not double the distance.
- C1 "No", because the line does not pass through the origin (for example 10 m/s gives 17 m but 20 m/s gives 49 m, not 34 m).
(c) 49 m
- .
- B1 Correct answer: 49 m.
Question 8
(a) g
- The gradient of the line is (66 42)/(29 17) = 24/12 = 2 g per cm.
- The length 24 cm is 7 cm above 17 cm, so the predicted mass rises by 2 7 = 14 g.
- The estimated mass is 42 + 14 = 56 g. This is interpolation because 24 cm is within the observed range.
- P1 Establishing or an equivalent valid method.
- P1 Establishing or an equivalent valid method.
- A1 Correct answer: g