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 = -0.4 * weight + 35
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Roche
1
74 kgInduráin
2
76 kgWinnen
7
60 kgRué
10
74 kgSchepers
13
60 kgMadiot
14
68 kgBreukink
16
70 kg
1
74 kgInduráin
2
76 kgWinnen
7
60 kgRué
10
74 kgSchepers
13
60 kgMadiot
14
68 kgBreukink
16
70 kg
Weight (KG) →
Result →
76
60
1
16
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROCHE Stephen | 74 |
| 2 | INDURÁIN Miguel | 76 |
| 7 | WINNEN Peter | 60 |
| 10 | RUÉ Gérard | 74 |
| 13 | SCHEPERS Eddy | 60 |
| 14 | MADIOT Marc | 68 |
| 16 | BREUKINK Erik | 70 |