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 * weight - 50
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Madiot
9
68 kgGayant
12
69 kgBernaudeau
19
64 kgWinnen
20
60 kgChevallier
23
69 kgRoche
40
74 kg
9
68 kgGayant
12
69 kgBernaudeau
19
64 kgWinnen
20
60 kgChevallier
23
69 kgRoche
40
74 kg
Weight (KG) →
Result →
74
60
9
40
| # | Rider | Weight (KG) |
|---|---|---|
| 9 | MADIOT Marc | 68 |
| 12 | GAYANT Martial | 69 |
| 19 | BERNAUDEAU Jean-René | 64 |
| 20 | WINNEN Peter | 60 |
| 23 | CHEVALLIER Philippe | 69 |
| 40 | ROCHE Stephen | 74 |