A 1/y transformation is used to linearise a scatterplot.

1/y = 0.14 + 0.045x

This regression line predicts that, when x = 6, y is closest to:

The scatterplot shows the weights at age 21

The association between two variables y and x, as shown in the scatterplot above, is non-linear. Which of the following transformations is most likely to linearise the relationship?

The birth weight and weight at age 21 of eight women are given in the table below.

The value of the correlation coefficient is closest to:

The variables response time to a drug and drug dosage are linearly associated, with

Is the variable birth weight the independent variable (IV) or the dependent variable (DV)?

(Write your answer as IV or DV only)

The correlation coefficient between heart weight and body weight in a group of mice is

Using body weight as the Independent Variable we can conclude that:

A model that describes the association between the hours spent studying for an exam

mark = 20 + 40 × log (hours)

From this model, we would predict that a student who studies for 20 hours would score

The shaded area on the graph above is equal to:

The shaded area on the graph above is equal to: