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 = 0.7 * weight + 12
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Haagensen
13
61 kgBennetzen
15
72 kgEkman
39
64 kgSalm
55
69 kgHerring
76
63 kgMitoraj
97
63 kgRooni
101
72 kg
13
61 kgBennetzen
15
72 kgEkman
39
64 kgSalm
55
69 kgHerring
76
63 kgMitoraj
97
63 kgRooni
101
72 kg
Weight (KG) →
Result →
72
61
13
101
| # | Rider | Weight (KG) |
|---|---|---|
| 13 | HAAGENSEN Magnus | 61 |
| 15 | BENNETZEN Lucca | 72 |
| 39 | EKMAN Vilmer | 64 |
| 55 | SALM Jann | 69 |
| 76 | HERRING Louis | 63 |
| 97 | MITORAJ Igor | 63 |
| 101 | ROONI Ron | 72 |