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 = -1.9 * weight + 143
This means that on average for every extra kilogram weight a rider loses -1.9 positions in the result.
Boasson Hagen
1
75 kgArvesen
3
74 kgWilmann
9
69 kgHegreberg
13
72 kgLarsen
16
71 kg
1
75 kgArvesen
3
74 kgWilmann
9
69 kgHegreberg
13
72 kgLarsen
16
71 kg
Weight (KG) →
Result →
75
69
1
16
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOASSON HAGEN Edvald | 75 |
| 3 | ARVESEN Kurt-Asle | 74 |
| 9 | WILMANN Frederik | 69 |
| 13 | HEGREBERG Morten | 72 |
| 16 | LARSEN Tom | 71 |