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 = 0.3 * weight - 13
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Boven
2
65 kgBelohvoščiks
4
70 kgMoerenhout
5
74 kgPronk
6
73 kgSilovs
7
79 kgvan der Steen
10
70 kg
2
65 kgBelohvoščiks
4
70 kgMoerenhout
5
74 kgPronk
6
73 kgSilovs
7
79 kgvan der Steen
10
70 kg
Weight (KG) →
Result →
79
65
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BOVEN Jan | 65 |
| 4 | BELOHVOŠČIKS Raivis | 70 |
| 5 | MOERENHOUT Koos | 74 |
| 6 | PRONK Matthé | 73 |
| 7 | SILOVS Juris | 79 |
| 10 | VAN DER STEEN Niels | 70 |