Question 2 For every additional minute it takes to run the 1500 m the estimated

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Question 2

For every additional minute it takes to run the 1500 m the estimated oxygen consumption rate decreases by 3.31.

The slope is 82.42.

The fitted regression line is approximately Y = 82.423.31(runtime)

A person who runs 1500 m in 10 minutes would have an estimated oxygen consumption rate of about 50.

There is good evidence that there is a relationship between oxygen consumption and the run time.

For every additional minute it takes to run the 1500 m the estimated oxygen consumption rate decreases by 3.31.

The slope is 82.42.

The fitted regression line is approximately Y = 82.423.31(runtime)

A person who runs 1500 m in 10 minutes would have an estimated oxygen consumption rate of about 50.

There is good evidence that there is a relationship between oxygen consumption and the run time.

Explanation / Answer

As the regression line is Y = 82.423.31(runtime)

Slope is -3.31 and Intercept is 82.42

As slope is -3.31, for every additional minute it takes to run the 1500 m the estimated oxygen consumption rate decreases by 3.31, this is correct

The slope is -3.31 so statement The slope is 82.42 is incorrect

The fitted regression line is approximately Y = 82.423.31(runtime) is correct as it is regression line

For x=10, y is almost 50 so statement a person who runs 1500 m in 10 minutes would have an estimated oxygen consumption rate of about 50, is correct

Here slope is not zero which means there is relationship between oxygen consumption and the run time. So statement There is good evidence that there is a relationship between oxygen consumption and the run time is correct.

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