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 - 16
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Nishitani
1
62 kgDoi
3
58 kgFeng
4
68 kgNakajima
9
64 kgToribio
10
64 kg
1
62 kgDoi
3
58 kgFeng
4
68 kgNakajima
9
64 kgToribio
10
64 kg
Weight (KG) →
Result →
68
58
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NISHITANI Taiji | 62 |
| 3 | DOI Yukihiro | 58 |
| 4 | FENG Chun Kai | 68 |
| 9 | NAKAJIMA Yasuharu | 64 |
| 10 | TORIBIO José Vicente | 64 |