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Grade 12

Least-Squares Lines and Making Predictions

Interactive practice questions

Consider the following set of data.

$x$x $15.7$15.7 $13.1$13.1 $16.1$16.1 $11$11 $18.6$18.6 $15.8$15.8 $12.7$12.7 $12.8$12.8 $14.3$14.3 $16.8$16.8
$y$y $28.3$28.3 $28.8$28.8 $28.4$28.4 $29$29 $27.9$27.9 $28.4$28.4 $28.5$28.5 $29$29 $28.5$28.5 $28.6$28.6
a

Using a graphics calculator (or other technology), calculate the correlation coefficient between these scores.

Give your answer to two decimal places.

b

Choose the description which best describes the statistical relationship between these two variables.

Strong positive linear relationship

A

Weak relationship

B

Moderate negative linear relationship

C

Moderate positive linear relationship

D

Strong negative linear relationship

E
c

Using a graphics calculator (or other technology), form an equation for the least squares regression line of $y$y on $x$x.

Give your answer in the form $y=ax+b$y=ax+b. Give all values to one decimal place.

Easy
5min

Consider the following set of data.

Easy
5min

The forecast maximum temperature, in degrees Celsius, and the observed maximum temperature are recorded to determine the accuracy in the temperature prediction models used by the weather bureau.

Easy
7min

Research on the number of cigarettes smoked during pregnancy and the birth weights of the newborn babies was conducted.

Easy
7min
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Outcomes

12C.D.1.5

Determine an algebraic summary of the relationship between two variables that appear to be linearly related, using a variety of tools and strategies, and solve related problems (e.g., use the equation of the line of best fit to interpolate or extrapolate from the given data set)

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