Three runners competed in a race. Data were collected at each mile mark for each runner. If the runner ran at a constant pace, the data would be linear. A regression line fitted to their data. Uses the residual plots to decide which data set is best fit by the regression line, and then identify the runner that kept the most consistent pace.

Three runners competed in a race Data were collected at each mile mark for each runner If the runner ran at a constant pace the data would be linear A regressio class=

Respuesta :

Answer:

B I got it correct in algebra1 sem2 a p e x

Step-by-step explanation:

At first my instinct when I took the test was "Has to be B!" Then I made sure by asking brainly. This is because the more I thought about it the more I thought about A being right and B being wrong. The straightest will be correct in this case. Follow your instinct, not immediately, but after reading it a couple more times.

Linear data is data lying across a straight line. The runner which kept the most consistent pace was runner B.

How does linear regression works?

Firstly, there is a data set. Then, we try to fit a line which will tell about the linear trend. This line is made using the least squares method.

For the given case, the second runner(runner B)'s data is almost forming a linear trend, whereas, for the first runner, its more spread, and the third graph, its a quadratic trend.

For non-linear trends like in third graph(runner C), we use polynomial regression to fit polynomial curves of higher degrees.

Thus, as the runner B's data set is lying more near to a line than other runners, thus,

The runner which kept the most consistent pace was runner B.

Learn more about linear regression here:

https://brainly.com/question/18854090