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 = -0.2 * weight + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Arvesen
1
74 kgBoasson Hagen
4
75 kgNordhaug
6
63 kgWilmann
7
69 kgHegreberg
10
72 kg
1
74 kgBoasson Hagen
4
75 kgNordhaug
6
63 kgWilmann
7
69 kgHegreberg
10
72 kg
Weight (KG) →
Result →
75
63
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARVESEN Kurt-Asle | 74 |
| 4 | BOASSON HAGEN Edvald | 75 |
| 6 | NORDHAUG Lars Petter | 63 |
| 7 | WILMANN Frederik | 69 |
| 10 | HEGREBERG Morten | 72 |