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 = -0.1 * weight + 15
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Budziński
3
69 kgRäim
5
69 kgNolde
6
79 kgGruel
8
70 kgRafferty
9
65 kgCzasa
10
70 kg
3
69 kgRäim
5
69 kgNolde
6
79 kgGruel
8
70 kgRafferty
9
65 kgCzasa
10
70 kg
Weight (KG) →
Result →
79
65
3
10
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BUDZIŃSKI Tomasz | 69 |
| 5 | RÄIM Mihkel | 69 |
| 6 | NOLDE Tobias | 79 |
| 8 | GRUEL Thibaud | 70 |
| 9 | RAFFERTY Darren | 65 |
| 10 | CZASA Moritz | 70 |