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 - 23
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Sevilla
1
62 kgMalucelli
4
68 kgDalla Valle
8
73 kgUmba
9
58 kgPellaud
12
70 kgJurado
19
68 kgLonardi
20
70 kg
1
62 kgMalucelli
4
68 kgDalla Valle
8
73 kgUmba
9
58 kgPellaud
12
70 kgJurado
19
68 kgLonardi
20
70 kg
Weight (KG) →
Result →
73
58
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SEVILLA Óscar | 62 |
| 4 | MALUCELLI Matteo | 68 |
| 8 | DALLA VALLE Nicolas | 73 |
| 9 | UMBA Santiago | 58 |
| 12 | PELLAUD Simon | 70 |
| 19 | JURADO Christofer Robín | 68 |
| 20 | LONARDI Giovanni | 70 |