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 = -1.6 * weight + 161
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
Šiškevičius
5
80 kgGmelich Meijling
19
77 kgAriesen
24
70 kgPapok
36
76 kgKittel
45
82 kgJodts
60
74 kgJanssens
81
74 kg
5
80 kgGmelich Meijling
19
77 kgAriesen
24
70 kgPapok
36
76 kgKittel
45
82 kgJodts
60
74 kgJanssens
81
74 kg
Weight (KG) →
Result →
82
70
5
81
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | ŠIŠKEVIČIUS Evaldas | 80 |
| 19 | GMELICH MEIJLING Jarno | 77 |
| 24 | ARIESEN Johim | 70 |
| 36 | PAPOK Siarhei | 76 |
| 45 | KITTEL Marcel | 82 |
| 60 | JODTS Sven | 74 |
| 81 | JANSSENS Jimmy | 74 |