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 = 0.4 * weight - 18
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Afewerki
3
63 kgMansouri
5
66 kgEyob
7
61 kgMcLay
9
72 kgSeynaeve
10
67 kg
3
63 kgMansouri
5
66 kgEyob
7
61 kgMcLay
9
72 kgSeynaeve
10
67 kg
Weight (KG) →
Result →
72
61
3
10
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | AFEWERKI Elyas | 63 |
| 5 | MANSOURI Abderrahmane | 66 |
| 7 | EYOB Metkel | 61 |
| 9 | MCLAY Daniel | 72 |
| 10 | SEYNAEVE Lander | 67 |