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 - 13
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Larsson
1
77 kgLudvigsson
2
76 kgLöfkvist
3
70 kgWetterhall
4
70 kgAleheim
5
68 kgSödergrann
11
80 kg
1
77 kgLudvigsson
2
76 kgLöfkvist
3
70 kgWetterhall
4
70 kgAleheim
5
68 kgSödergrann
11
80 kg
Weight (KG) →
Result →
80
68
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LARSSON Gustav Erik | 77 |
| 2 | LUDVIGSSON Tobias | 76 |
| 3 | LÖFKVIST Thomas | 70 |
| 4 | WETTERHALL Alexander | 70 |
| 5 | ALEHEIM Joakim | 68 |
| 11 | SÖDERGRANN Jakob | 80 |