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 - 15
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Louviot
1
62 kgMaes
2
70 kgSalazard
3
74 kgBuse
4
74 kgSieronski
5
78 kg
1
62 kgMaes
2
70 kgSalazard
3
74 kgBuse
4
74 kgSieronski
5
78 kg
Weight (KG) →
Result →
78
62
1
5
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LOUVIOT Raymond | 62 |
| 2 | MAES Sylvère | 70 |
| 3 | SALAZARD Vincent | 74 |
| 4 | BUSE Hermann | 74 |
| 5 | SIERONSKI Herbert | 78 |