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 = 0.1 * weight - 5
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Modolo
1
67 kgViviani
2
67 kgBelletti
3
72 kgBertolini
4
63 kgGatto
5
67 kgBernas
6
77 kgVisconti
7
63 kgMezgec
10
72 kg
1
67 kgViviani
2
67 kgBelletti
3
72 kgBertolini
4
63 kgGatto
5
67 kgBernas
6
77 kgVisconti
7
63 kgMezgec
10
72 kg
Weight (KG) →
Result →
77
63
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MODOLO Sacha | 67 |
| 2 | VIVIANI Elia | 67 |
| 3 | BELLETTI Manuel | 72 |
| 4 | BERTOLINI Alessandro | 63 |
| 5 | GATTO Oscar | 67 |
| 6 | BERNAS Paweł | 77 |
| 7 | VISCONTI Giovanni | 63 |
| 10 | MEZGEC Luka | 72 |