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 - 14
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Schelling
2
61 kgNovak
3
70 kgFinetto
4
62 kgRabitsch
5
69 kgButs
6
68 kgBajc
9
65 kgBrożyna
10
71 kgKoretzky
11
66 kg
2
61 kgNovak
3
70 kgFinetto
4
62 kgRabitsch
5
69 kgButs
6
68 kgBajc
9
65 kgBrożyna
10
71 kgKoretzky
11
66 kg
Weight (KG) →
Result →
71
61
2
11
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SCHELLING Patrick | 61 |
| 3 | NOVAK Domen | 70 |
| 4 | FINETTO Mauro | 62 |
| 5 | RABITSCH Stephan | 69 |
| 6 | BUTS Vitaliy | 68 |
| 9 | BAJC Andi | 65 |
| 10 | BROŻYNA Piotr | 71 |
| 11 | KORETZKY Clément | 66 |