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 = 0.3 * weight - 14
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Boasson Hagen
1
75 kgArvesen
2
74 kgWilmann
3
69 kgNordhaug
5
63 kgKristoff
8
78 kgLaengen
9
79 kgBreen
25
74 kg
1
75 kgArvesen
2
74 kgWilmann
3
69 kgNordhaug
5
63 kgKristoff
8
78 kgLaengen
9
79 kgBreen
25
74 kg
Weight (KG) →
Result →
79
63
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOASSON HAGEN Edvald | 75 |
| 2 | ARVESEN Kurt-Asle | 74 |
| 3 | WILMANN Frederik | 69 |
| 5 | NORDHAUG Lars Petter | 63 |
| 8 | KRISTOFF Alexander | 78 |
| 9 | LAENGEN Vegard Stake | 79 |
| 25 | BREEN Vegard | 74 |