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 = -61.6 * weight + 4622
This means that on average for every extra kilogram weight a rider loses -61.6 positions in the result.
Argentin
1
66 kgFondriest
2
70 kgZülle
3
72 kgSunderland
990
65 kgSimon
990
70 kg
1
66 kgFondriest
2
70 kgZülle
3
72 kgSunderland
990
65 kgSimon
990
70 kg
Weight (KG) →
Result →
72
65
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARGENTIN Moreno | 66 |
| 2 | FONDRIEST Maurizio | 70 |
| 3 | ZÜLLE Alex | 72 |
| 990 | SUNDERLAND Scott | 65 |
| 990 | SIMON François | 70 |