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 - 7
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Pujol
1
58 kgSaleh
3
58 kgFeng
4
69 kgCrawford
6
59 kgEdmondson
7
75 kgNakajima
10
64 kg
1
58 kgSaleh
3
58 kgFeng
4
69 kgCrawford
6
59 kgEdmondson
7
75 kgNakajima
10
64 kg
Weight (KG) →
Result →
75
58
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PUJOL Óscar | 58 |
| 3 | SALEH Mohd Zamri | 58 |
| 4 | FENG Chun Kai | 69 |
| 6 | CRAWFORD Jai | 59 |
| 7 | EDMONDSON Alex | 75 |
| 10 | NAKAJIMA Yasuharu | 64 |