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 = 40.9 * weight - 2167
This means that on average for every extra kilogram weight a rider loses 40.9 positions in the result.
Velo
1
70 kgPiepoli
3
54 kgBelli
4
64 kgGotti
990
65 kgTonkov
990
70 kgSimeoni
990
68 kg
1
70 kgPiepoli
3
54 kgBelli
4
64 kgGotti
990
65 kgTonkov
990
70 kgSimeoni
990
68 kg
Weight (KG) →
Result →
70
54
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VELO Marco | 70 |
| 3 | PIEPOLI Leonardo | 54 |
| 4 | BELLI Wladimir | 64 |
| 990 | GOTTI Ivan | 65 |
| 990 | TONKOV Pavel | 70 |
| 990 | SIMEONI Filippo | 68 |