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 = -0.6 * weight + 52
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Hinault
3
62 kgRoche
4
74 kgMadiot
9
68 kgLeMond
10
67 kgBernaudeau
12
64 kgWinnen
19
60 kg
3
62 kgRoche
4
74 kgMadiot
9
68 kgLeMond
10
67 kgBernaudeau
12
64 kgWinnen
19
60 kg
Weight (KG) →
Result →
74
60
3
19
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | HINAULT Bernard | 62 |
| 4 | ROCHE Stephen | 74 |
| 9 | MADIOT Marc | 68 |
| 10 | LEMOND Greg | 67 |
| 12 | BERNAUDEAU Jean-René | 64 |
| 19 | WINNEN Peter | 60 |