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 = 2.9 * weight - 156
This means that on average for every extra kilogram weight a rider loses 2.9 positions in the result.
Diaz
1
61 kgSoliz
6
58 kgArdila
15
58 kgSepulveda
33
66 kgAlmonacid
51
60 kgMartins
55
70 kgTanovițchii
57
73 kg
1
61 kgSoliz
6
58 kgArdila
15
58 kgSepulveda
33
66 kgAlmonacid
51
60 kgMartins
55
70 kgTanovițchii
57
73 kg
Weight (KG) →
Result →
73
58
1
57
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DIAZ Daniel | 61 |
| 6 | SOLIZ Óscar | 58 |
| 15 | ARDILA Mauricio Alberto | 58 |
| 33 | SEPULVEDA Luis Fernando | 66 |
| 51 | ALMONACID Patricio | 60 |
| 55 | MARTINS Uri | 70 |
| 57 | TANOVIȚCHII Nicolae | 73 |