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 = -1.3 * weight + 100
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
Roche
3
74 kgLeMond
9
67 kgMadiot
17
68 kgHinault
18
62 kgBernaudeau
19
64 kg
3
74 kgLeMond
9
67 kgMadiot
17
68 kgHinault
18
62 kgBernaudeau
19
64 kg
Weight (KG) →
Result →
74
62
3
19
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | ROCHE Stephen | 74 |
| 9 | LEMOND Greg | 67 |
| 17 | MADIOT Marc | 68 |
| 18 | HINAULT Bernard | 62 |
| 19 | BERNAUDEAU Jean-René | 64 |