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 = 0.6 * weight - 36
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Trinkler
3
67 kgGilson
5
70 kgVan Springel
6
72 kgNowicki
7
74 kgHassink
8
71 kg
3
67 kgGilson
5
70 kgVan Springel
6
72 kgNowicki
7
74 kgHassink
8
71 kg
Weight (KG) →
Result →
74
67
3
8
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | TRINKLER Richard | 67 |
| 5 | GILSON Roger | 70 |
| 6 | VAN SPRINGEL Herman | 72 |
| 7 | NOWICKI Mieczysław | 74 |
| 8 | HASSINK Arie | 71 |