Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.2 * weight + 29
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Bodnar
1
77 kgTaciak
2
68 kgCieślik
10
65 kgMatysiak
17
71 kgKomar
28
73 kgMarycz
29
69 kg
1
77 kgTaciak
2
68 kgCieślik
10
65 kgMatysiak
17
71 kgKomar
28
73 kgMarycz
29
69 kg
Weight (KG) →
Result →
77
65
1
29
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BODNAR Maciej | 77 |
| 2 | TACIAK Mateusz | 68 |
| 10 | CIEŚLIK Paweł | 65 |
| 17 | MATYSIAK Bartłomiej | 71 |
| 28 | KOMAR Mateusz | 73 |
| 29 | MARYCZ Jarosław | 69 |