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MUF0092 Mathematics Unit 2-SEM 1-2025
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A 1/y transformation is used to linearise a scatterplot.The equation of a least squares line fitted to this data is:
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 21and at birth of 12 women. The association isbest described as a:
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, withr = −0.9. From this information, we can conclude that:
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 isr = 0.765.
Using body weight as the Independent Variable we can conclude that:
A model that describes the association between the hours spent studying for an examand the mark achieved is:
mark = 20 + 40 × log (hours)
From this model, we would predict that a student who studies for 20 hours would scorea mark (to the nearest whole number) of:
The shaded area on the graph above is equal to:
The shaded area on the graph above is equal to: