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 = 0.2 * weight - 12
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Bortolami
1
73 kgPalumbo
2
61 kgRadaelli
3
67 kgValoti
4
64 kgStrazzer
5
68 kgKrupa
9
74 kg
1
73 kgPalumbo
2
61 kgRadaelli
3
67 kgValoti
4
64 kgStrazzer
5
68 kgKrupa
9
74 kg
Weight (KG) →
Result →
74
61
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BORTOLAMI Gianluca | 73 |
| 2 | PALUMBO Giuseppe | 61 |
| 3 | RADAELLI Mauro | 67 |
| 4 | VALOTI Paolo | 64 |
| 5 | STRAZZER Massimo | 68 |
| 9 | KRUPA Dawid | 74 |