A scatter diagram shows points lying close to a straight line sloping downward from left to right. Describe the type and strength of the correlation.
[2]The following data pairs describe a relationship between two variables: The point is identified as an outlier.
A grid for plotting the data is provided below.

Plot all five data points on the scatter diagram provided.
[2]Draw a line of best fit for this data, ignoring the outlier .
[1]Describe how the inclusion of the outlier affects the overall correlation of the data set.
[2]Using your line of best fit, estimate the value of when .
[2]The following table shows the values of and for a set of bivariate data.
| 1 | 2 | 3 | 4 | 5 | 6 | |
|---|---|---|---|---|---|---|
| 10 | 9 | 7 | 6 | 5 | 3 |
Plot a scatter diagram for this data.
[2]Draw a line of best fit on your scatter diagram.
[1]Describe the correlation between and .
[1]Using your line of best fit, estimate the value of when .
[1]The following data relates the variables and :
Plot a scatter diagram for this data.
[2]Draw the line of best fit on your scatter diagram.
[1]Use your line of best fit to estimate the value of when .
[2]A student records the number of hours studied () and the corresponding exam scores () for five different students, as shown in the table below:
| Hours Studied () | 2 | 4 | 6 | 8 | 10 |
|---|---|---|---|---|---|
| Exam Score () | 50 | 65 | 75 | 85 | 90 |
Plot a scatter diagram for this data, using a scale of 1 cm to represent 1 hour on the -axis and 1 cm to represent 10 units on the -axis.
[2]Sketch the line of best fit on your scatter diagram.
[1]Describe the correlation between the hours studied and the exam score.
[1]Use your line of best fit to predict the exam score for a student who studied for 7 hours.
[2]Given the data pairs , , , , and , plot the scatter diagram, draw a line of best fit by eye, and describe the correlation.
[5]