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 = -0.1 * weight + 24
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Larsson
1
77 kgLöfkvist
2
70 kgWetterhall
3
70 kgAleheim
6
68 kgSödergrann
34
80 kgHendler
46
66 kg
1
77 kgLöfkvist
2
70 kgWetterhall
3
70 kgAleheim
6
68 kgSödergrann
34
80 kgHendler
46
66 kg
Weight (KG) →
Result →
80
66
1
46
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LARSSON Gustav Erik | 77 |
| 2 | LÖFKVIST Thomas | 70 |
| 3 | WETTERHALL Alexander | 70 |
| 6 | ALEHEIM Joakim | 68 |
| 34 | SÖDERGRANN Jakob | 80 |
| 46 | HENDLER Benjamin | 66 |