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 = -0.3 * weight + 28
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Belkov
1
71 kgVelits
2
70 kgPoulhiès
4
75 kgLeezer
6
76 kgVelits
8
63 kgWyss
9
65 kg
1
71 kgVelits
2
70 kgPoulhiès
4
75 kgLeezer
6
76 kgVelits
8
63 kgWyss
9
65 kg
Weight (KG) →
Result →
76
63
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BELKOV Maxim | 71 |
| 2 | VELITS Martin | 70 |
| 4 | POULHIÈS Stéphane | 75 |
| 6 | LEEZER Tom | 76 |
| 8 | VELITS Peter | 63 |
| 9 | WYSS Danilo | 65 |