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 = 0.3 * weight - 5
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
LeMond
1
67 kgHinault
5
62 kgWinnen
16
60 kgRoche
20
74 kgBernaudeau
26
64 kg
1
67 kgHinault
5
62 kgWinnen
16
60 kgRoche
20
74 kgBernaudeau
26
64 kg
Weight (KG) →
Result →
74
60
1
26
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LEMOND Greg | 67 |
| 5 | HINAULT Bernard | 62 |
| 16 | WINNEN Peter | 60 |
| 20 | ROCHE Stephen | 74 |
| 26 | BERNAUDEAU Jean-René | 64 |