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 + 20
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Earle
1
70 kgEyob
3
61 kgSirironnachai
4
61 kgChaiyasombat
5
58 kgvan Engelen
6
51 kgFelipe
7
58 kgKoishi
8
62 kg
1
70 kgEyob
3
61 kgSirironnachai
4
61 kgChaiyasombat
5
58 kgvan Engelen
6
51 kgFelipe
7
58 kgKoishi
8
62 kg
Weight (KG) →
Result →
70
51
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EARLE Nathan | 70 |
| 3 | EYOB Metkel | 61 |
| 4 | SIRIRONNACHAI Sarawut | 61 |
| 5 | CHAIYASOMBAT Thanakhan | 58 |
| 6 | VAN ENGELEN Adne | 51 |
| 7 | FELIPE Marcelo | 58 |
| 8 | KOISHI Yuma | 62 |