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 = -22.8 * weight + 2236
This means that on average for every extra kilogram weight a rider loses -22.8 positions in the result.
Solleveld
1
93 kgvan Vliet
2
65 kgVanderaerden
3
74 kgLeMond
990
67 kgBauer
990
72 kgZoetemelk
990
68 kgRoche
990
74 kg
1
93 kgvan Vliet
2
65 kgVanderaerden
3
74 kgLeMond
990
67 kgBauer
990
72 kgZoetemelk
990
68 kgRoche
990
74 kg
Weight (KG) →
Result →
93
65
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SOLLEVELD Gerrit | 93 |
| 2 | VAN VLIET Leo | 65 |
| 3 | VANDERAERDEN Eric | 74 |
| 990 | LEMOND Greg | 67 |
| 990 | BAUER Steve | 72 |
| 990 | ZOETEMELK Joop | 68 |
| 990 | ROCHE Stephen | 74 |