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 = -4.9 * weight + 394
This means that on average for every extra kilogram weight a rider loses -4.9 positions in the result.
Kittel
1
82 kgŠiškevičius
2
80 kgPapok
3
76 kgGmelich Meijling
12
77 kgJanssens
39
74 kgJodts
44
74 kgAriesen
52
70 kg
1
82 kgŠiškevičius
2
80 kgPapok
3
76 kgGmelich Meijling
12
77 kgJanssens
39
74 kgJodts
44
74 kgAriesen
52
70 kg
Weight (KG) →
Result →
82
70
1
52
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KITTEL Marcel | 82 |
| 2 | ŠIŠKEVIČIUS Evaldas | 80 |
| 3 | PAPOK Siarhei | 76 |
| 12 | GMELICH MEIJLING Jarno | 77 |
| 39 | JANSSENS Jimmy | 74 |
| 44 | JODTS Sven | 74 |
| 52 | ARIESEN Johim | 70 |