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 * weight + 22
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Kapitonov
3
73 kgSchur
11
73 kgNyman
22
77 kgTörök
28
68 kgKlevtsov
29
76 kg
3
73 kgSchur
11
73 kgNyman
22
77 kgTörök
28
68 kgKlevtsov
29
76 kg
Weight (KG) →
Result →
77
68
3
29
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | KAPITONOV Viktor | 73 |
| 11 | SCHUR Gustav-Adolf | 73 |
| 22 | NYMAN Paul | 77 |
| 28 | TÖRÖK Győző | 68 |
| 29 | KLEVTSOV Yevgeny Pyotrovich | 76 |