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 = 1.1 * weight - 67
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Staune-Mittet
2
67 kgHolther
4
68 kgBrennsæter
7
66 kgKvam
13
72 kgRavnøy
15
78 kgFredheim
16
72 kg
2
67 kgHolther
4
68 kgBrennsæter
7
66 kgKvam
13
72 kgRavnøy
15
78 kgFredheim
16
72 kg
Weight (KG) →
Result →
78
66
2
16
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | STAUNE-MITTET Johannes | 67 |
| 4 | HOLTHER Trym Westgaard | 68 |
| 7 | BRENNSÆTER Trym | 66 |
| 13 | KVAM Kalle | 72 |
| 15 | RAVNØY Johan | 78 |
| 16 | FREDHEIM Stian | 72 |