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 + 9
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Jurado
1
68 kgMosca
2
65 kgGalarreta
3
77 kgOsorio
4
65 kgMalcharek
5
74 kgGoh
6
54 kg
1
68 kgMosca
2
65 kgGalarreta
3
77 kgOsorio
4
65 kgMalcharek
5
74 kgGoh
6
54 kg
Weight (KG) →
Result →
77
54
1
6
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JURADO Christofer Robín | 68 |
| 2 | MOSCA Jacopo | 65 |
| 3 | GALARRETA David | 77 |
| 4 | OSORIO Juan Felipe | 65 |
| 5 | MALCHAREK Moritz | 74 |
| 6 | GOH Choon Huat | 54 |