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 + 20
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Jõeäär
1
84 kgNisu
4
84 kgLauk
5
69 kgNõmmela
7
69 kgKiskonen
13
64 kgJohanson
14
74 kgVahtra
15
85 kg
1
84 kgNisu
4
84 kgLauk
5
69 kgNõmmela
7
69 kgKiskonen
13
64 kgJohanson
14
74 kgVahtra
15
85 kg
Weight (KG) →
Result →
85
64
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JÕEÄÄR Gert | 84 |
| 4 | NISU Oskar | 84 |
| 5 | LAUK Karl Patrick | 69 |
| 7 | NÕMMELA Aksel | 69 |
| 13 | KISKONEN Siim | 64 |
| 14 | JOHANSON Kristjan | 74 |
| 15 | VAHTRA Norman | 85 |