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 + 15
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Münzer
21
71 kgBrinkman
22
65 kgKwak
26
72 kgMerseburg
29
75 kgCarstensen
42
69 kg
21
71 kgBrinkman
22
65 kgKwak
26
72 kgMerseburg
29
75 kgCarstensen
42
69 kg
Weight (KG) →
Result →
75
65
21
42
| # | Rider | Weight (KG) |
|---|---|---|
| 21 | MÜNZER Jan | 71 |
| 22 | BRINKMAN David | 65 |
| 26 | KWAK Rinze | 72 |
| 29 | MERSEBURG Dominik | 75 |
| 42 | CARSTENSEN Lucas | 69 |