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 = -3.9 * weight + 300
This means that on average for every extra kilogram weight a rider loses -3.9 positions in the result.
Boasson Hagen
1
75 kgRasch
5
72 kgWilmann
6
69 kgLaengen
9
79 kgJensen
73
67 kg
1
75 kgRasch
5
72 kgWilmann
6
69 kgLaengen
9
79 kgJensen
73
67 kg
Weight (KG) →
Result →
79
67
1
73
# | Rider | Weight (KG) |
---|---|---|
1 | BOASSON HAGEN Edvald | 75 |
5 | RASCH Gabriel | 72 |
6 | WILMANN Frederik | 69 |
9 | LAENGEN Vegard Stake | 79 |
73 | JENSEN August | 67 |