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 * weight + 6
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Seixas
1
61 kgRemijn
4
68 kgHolmes
6
64 kgSparfel
8
59 kgØrn-Kristoff
9
76 kgBoussemaere
11
56 kgScheldeman
13
66 kg
1
61 kgRemijn
4
68 kgHolmes
6
64 kgSparfel
8
59 kgØrn-Kristoff
9
76 kgBoussemaere
11
56 kgScheldeman
13
66 kg
Weight (KG) →
Result →
76
56
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SEIXAS Paul | 61 |
| 4 | REMIJN Senna | 68 |
| 6 | HOLMES Wil | 64 |
| 8 | SPARFEL Aubin | 59 |
| 9 | ØRN-KRISTOFF Felix | 76 |
| 11 | BOUSSEMAERE Louic | 56 |
| 13 | SCHELDEMAN Xander | 66 |