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 = 1.1 * weight - 52
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Aaen Jørgensen
1
63 kgMaldonado
12
57 kgManninen
17
70 kgWetterhall
21
70 kgAleheim
28
68 kgCarman
31
66 kg
1
63 kgMaldonado
12
57 kgManninen
17
70 kgWetterhall
21
70 kgAleheim
28
68 kgCarman
31
66 kg
Weight (KG) →
Result →
70
57
1
31
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AAEN JØRGENSEN Jonas | 63 |
| 12 | MALDONADO Anthony | 57 |
| 17 | MANNINEN Matti | 70 |
| 21 | WETTERHALL Alexander | 70 |
| 28 | ALEHEIM Joakim | 68 |
| 31 | CARMAN Ben | 66 |