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 = -0.4 * weight + 52
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Lander
2
70 kgQuaade
8
77 kgNorman Leth
23
75 kgGarby
35
63 kgValgren
42
71 kgVeyhe
45
77 kg
2
70 kgQuaade
8
77 kgNorman Leth
23
75 kgGarby
35
63 kgValgren
42
71 kgVeyhe
45
77 kg
Weight (KG) →
Result →
77
63
2
45
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LANDER Sebastian | 70 |
| 8 | QUAADE Rasmus | 77 |
| 23 | NORMAN LETH Lasse | 75 |
| 35 | GARBY Marc Christian | 63 |
| 42 | VALGREN Michael | 71 |
| 45 | VEYHE Torkil | 77 |