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 + 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Jégou
3
71 kgPfannberger
5
63 kgJurčo
6
69 kgAugé
8
65 kgDi Luca
9
61 kgCarlström
10
70 kgVan De Walle
11
74 kg
3
71 kgPfannberger
5
63 kgJurčo
6
69 kgAugé
8
65 kgDi Luca
9
61 kgCarlström
10
70 kgVan De Walle
11
74 kg
Weight (KG) →
Result →
74
61
3
11
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | JÉGOU Lilian | 71 |
| 5 | PFANNBERGER Christian | 63 |
| 6 | JURČO Matej | 69 |
| 8 | AUGÉ Stéphane | 65 |
| 9 | DI LUCA Danilo | 61 |
| 10 | CARLSTRÖM Kjell | 70 |
| 11 | VAN DE WALLE Jurgen | 74 |