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 = 0.4 * weight - 18
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Brennauer
1
63 kgKlein
2
61 kgLudwig
3
55 kgKasper
8
59 kgKröger
13
77 kgErath
17
62 kg
1
63 kgKlein
2
61 kgLudwig
3
55 kgKasper
8
59 kgKröger
13
77 kgErath
17
62 kg
Weight (KG) →
Result →
77
55
1
17
# | Rider | Weight (KG) |
---|---|---|
1 | BRENNAUER Lisa | 63 |
2 | KLEIN Lisa | 61 |
3 | LUDWIG Hannah | 55 |
8 | KASPER Romy | 59 |
13 | KRÖGER Mieke | 77 |
17 | ERATH Tanja | 62 |