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 + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Marie
4
68 kgFignon
5
67 kgVilamajo
8
70 kgKelly
11
77 kgDelgado
18
64 kg
4
68 kgFignon
5
67 kgVilamajo
8
70 kgKelly
11
77 kgDelgado
18
64 kg
Weight (KG) →
Result →
77
64
4
18
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | MARIE Thierry | 68 |
| 5 | FIGNON Laurent | 67 |
| 8 | VILAMAJO Jaime | 70 |
| 11 | KELLY Sean | 77 |
| 18 | DELGADO Pedro | 64 |