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2.02 Making predictions

Interactive practice questions

A bivariate data set has a line of best fit with equation $y=8.84x$y=8.84x.

Use this equation to calculate the value of $y$y when $x=7.68$x=7.68.

Easy
1min

A bivariate data set has a line of best fit with equation $y=-8.71x+6.79$y=8.71x+6.79.

Predict the value of $y$y when $x=3.49$x=3.49.

Easy
1min

A bivariate data set has a line of best fit with equation $y=-0.84x-0.19$y=0.84x0.19.

Predict the value of $y$y when $x=-43.15$x=43.15.

Easy
1min

A bivariate data set has a line of best fit with equation $t=4.24s$t=4.24s.

Predict the value of $t$t when $s=3.76$s=3.76.

Easy
< 1min
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Outcomes

3.1.14

use the equation of a fitted line to make predictions

3.1.15

distinguish between interpolation and extrapolation when using the fitted line to make predictions, recognising the potential dangers of extrapolation

3.1.18

identify possible non-causal explanations for an association, including coincidence and confounding due to a common response to another variable, and communicate these explanations in a systematic and concise manner

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