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 = -0.8 * weight + 61
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Roche
4
74 kgLeMond
7
67 kgBernaudeau
9
64 kgBourreau
11
63 kgWinnen
16
60 kg
4
74 kgLeMond
7
67 kgBernaudeau
9
64 kgBourreau
11
63 kgWinnen
16
60 kg
Weight (KG) →
Result →
74
60
4
16
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | ROCHE Stephen | 74 |
| 7 | LEMOND Greg | 67 |
| 9 | BERNAUDEAU Jean-René | 64 |
| 11 | BOURREAU Bernard | 63 |
| 16 | WINNEN Peter | 60 |