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 = 0.5 * weight - 25
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Sørensen
1
70 kgChiappucci
3
67 kgGianetti
5
62 kgFondriest
6
70 kgSciandri
10
75 kgBaffi
16
70 kg
1
70 kgChiappucci
3
67 kgGianetti
5
62 kgFondriest
6
70 kgSciandri
10
75 kgBaffi
16
70 kg
Weight (KG) →
Result →
75
62
1
16
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SØRENSEN Rolf | 70 |
| 3 | CHIAPPUCCI Claudio | 67 |
| 5 | GIANETTI Mauro | 62 |
| 6 | FONDRIEST Maurizio | 70 |
| 10 | SCIANDRI Maximilian | 75 |
| 16 | BAFFI Adriano | 70 |