The table shows the heights of the winners and runners-up of 8
presidential elections. Find the line of regression that predicts the
runner-up's height given the winner's height. Determine if the
regression line is a good predictor of heights for the winners and
runner-ups of presidential elections.
Winner
69.5
73
73
74
74.5
74.5
71
71
Runner-Up
72
69.5
70
68
74
74
73
76

Respuesta :

Answer:

The table shows the heights of the winners and runner-ups of 8 presidential elections. Find the line of regression that predicts the runner-up's height given the winner's height. Determine if the regression line is a good predictor of heights for the winners and runner-ups of presidential elections.

Winner: 69.5; 73; 73; 74; 74.5; 74.5; 71; 71

Runner-Up: 72; 69.5; 70; 68; 74; 74; 73; 76

a. y = 95.4 - 0.321x; no, because the r-value is low.***

b. y = -0.321 + 95.4x; no, because the r-value is low.

The regression line is NOT a good predictor of heights for the winners and runner-ups of presidential elections because the r-value is low

Calculations and Parameters:

Given that:

The data given for the winners are:

69.5; 73; 73; 74; 74.5; 74.5; 71; 71

The runners up are:

72; 69.5; 70; 68; 74; 74; 73; 76

With this, we can see that a. y = 95.4 - 0.321x; no, because the r-value is low.

Read more about lines of regression here:

https://brainly.com/question/25987747

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