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 = 1.2 * weight - 57
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Baur
3
56 kgHartmann
4
56 kgChabbey
5
52 kgStern
9
55 kgLützelschwab
13
63 kgAndres
19
62 kg
3
56 kgHartmann
4
56 kgChabbey
5
52 kgStern
9
55 kgLützelschwab
13
63 kgAndres
19
62 kg
Weight (KG) →
Result →
63
52
3
19
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BAUR Caroline | 56 |
| 4 | HARTMANN Elena | 56 |
| 5 | CHABBEY Elise | 52 |
| 9 | STERN Léa | 55 |
| 13 | LÜTZELSCHWAB Irina | 63 |
| 19 | ANDRES Michelle | 62 |