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 * weight + 1
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Cavendish
1
70 kgFeillu
2
62 kgRoberts
3
71 kgGarrido
4
70 kgTrusov
5
77 kgClarke
6
63 kg
1
70 kgFeillu
2
62 kgRoberts
3
71 kgGarrido
4
70 kgTrusov
5
77 kgClarke
6
63 kg
Weight (KG) →
Result →
77
62
1
6
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CAVENDISH Mark | 70 |
| 2 | FEILLU Romain | 62 |
| 3 | ROBERTS Luke | 71 |
| 4 | GARRIDO Martin Gerardo | 70 |
| 5 | TRUSOV Nikolay | 77 |
| 6 | CLARKE Simon | 63 |