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 = 1.3 * weight - 45
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Martins
14
70 kgArdila
15
58 kgDiaz
19
61 kgSoliz
31
58 kgAlmonacid
52
60 kgSepulveda
55
66 kgTanovițchii
61
73 kg
14
70 kgArdila
15
58 kgDiaz
19
61 kgSoliz
31
58 kgAlmonacid
52
60 kgSepulveda
55
66 kgTanovițchii
61
73 kg
Weight (KG) →
Result →
73
58
14
61
| # | Rider | Weight (KG) |
|---|---|---|
| 14 | MARTINS Uri | 70 |
| 15 | ARDILA Mauricio Alberto | 58 |
| 19 | DIAZ Daniel | 61 |
| 31 | SOLIZ Óscar | 58 |
| 52 | ALMONACID Patricio | 60 |
| 55 | SEPULVEDA Luis Fernando | 66 |
| 61 | TANOVIȚCHII Nicolae | 73 |