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 + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Kirsipuu
1
80 kgZabel
2
69 kgVierhouten
3
71 kgMoncassin
4
73 kgNazon
5
68 kg
1
80 kgZabel
2
69 kgVierhouten
3
71 kgMoncassin
4
73 kgNazon
5
68 kg
Weight (KG) →
Result →
80
68
1
5
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KIRSIPUU Jaan | 80 |
| 2 | ZABEL Erik | 69 |
| 3 | VIERHOUTEN Aart | 71 |
| 4 | MONCASSIN Frédéric | 73 |
| 5 | NAZON Damien | 68 |