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 = -1.6 * weight + 120
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
Seigneur
1
71 kgBrochard
2
68 kgMoreau
3
71 kgBassons
4
74 kgMarie
22
68 kg
1
71 kgBrochard
2
68 kgMoreau
3
71 kgBassons
4
74 kgMarie
22
68 kg
Weight (KG) →
Result →
74
68
1
22
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SEIGNEUR Eddy | 71 |
| 2 | BROCHARD Laurent | 68 |
| 3 | MOREAU Christophe | 71 |
| 4 | BASSONS Christophe | 74 |
| 22 | MARIE Thierry | 68 |