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 = 0.2 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Yamamoto
1
63 kgOka
2
58 kgSainbayar
3
60 kgNakai
4
62 kgEarle
5
70 kgDyball
6
63 kg
1
63 kgOka
2
58 kgSainbayar
3
60 kgNakai
4
62 kgEarle
5
70 kgDyball
6
63 kg
Weight (KG) →
Result →
70
58
1
6
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | YAMAMOTO Masaki | 63 |
| 2 | OKA Atsushi | 58 |
| 3 | SAINBAYAR Jambaljamts | 60 |
| 4 | NAKAI Tadaaki | 62 |
| 5 | EARLE Nathan | 70 |
| 6 | DYBALL Benjamin | 63 |