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 = 0.3 * weight - 9
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Breukink
1
70 kgDelgado
5
64 kgMauri
9
68 kgKelly
10
77 kgHodge
13
74 kgFignon
15
67 kg
1
70 kgDelgado
5
64 kgMauri
9
68 kgKelly
10
77 kgHodge
13
74 kgFignon
15
67 kg
Weight (KG) →
Result →
77
64
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BREUKINK Erik | 70 |
| 5 | DELGADO Pedro | 64 |
| 9 | MAURI Melchor | 68 |
| 10 | KELLY Sean | 77 |
| 13 | HODGE Stephen | 74 |
| 15 | FIGNON Laurent | 67 |