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 - 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Wiebes
1
60 kgBoogaard
2
59 kgTeutenberg
4
53 kgBerteau
5
57 kgTserakh
11
70 kgBadegruber
16
56 kg
1
60 kgBoogaard
2
59 kgTeutenberg
4
53 kgBerteau
5
57 kgTserakh
11
70 kgBadegruber
16
56 kg
Weight (KG) →
Result →
70
53
1
16
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WIEBES Lorena | 60 |
| 2 | BOOGAARD Maaike | 59 |
| 4 | TEUTENBERG Lea Lin | 53 |
| 5 | BERTEAU Victoire | 57 |
| 11 | TSERAKH Hanna | 70 |
| 16 | BADEGRUBER Anna | 56 |