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 = -0.8 * weight + 62
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Blum
1
68 kgChristen
6
60 kgSchönenberger
13
60 kgGätzi
15
61 kgKurmann
21
64 kg
1
68 kgChristen
6
60 kgSchönenberger
13
60 kgGätzi
15
61 kgKurmann
21
64 kg
Weight (KG) →
Result →
68
60
1
21
# | Rider | Weight (KG) |
---|---|---|
1 | BLUM Elia | 68 |
6 | CHRISTEN Jan | 60 |
13 | SCHÖNENBERGER Daniel | 60 |
15 | GÄTZI Cyrill | 61 |
21 | KURMANN André | 64 |