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 + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Kvasina
2
72 kgReda
3
70 kgTurek
4
72 kgMühlberger
7
64 kgAsgreen
9
75 kgHerklotz
10
68 kg
2
72 kgReda
3
70 kgTurek
4
72 kgMühlberger
7
64 kgAsgreen
9
75 kgHerklotz
10
68 kg
Weight (KG) →
Result →
75
64
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KVASINA Matija | 72 |
| 3 | REDA Francesco | 70 |
| 4 | TUREK Daniel | 72 |
| 7 | MÜHLBERGER Gregor | 64 |
| 9 | ASGREEN Kasper | 75 |
| 10 | HERKLOTZ Silvio | 68 |