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 = 2.9 * weight - 184
This means that on average for every extra kilogram weight a rider loses 2.9 positions in the result.
Carstensen
2
69 kgBrinkman
3
65 kgMerseburg
24
75 kgKwak
26
72 kgMünzer
45
71 kg
2
69 kgBrinkman
3
65 kgMerseburg
24
75 kgKwak
26
72 kgMünzer
45
71 kg
Weight (KG) →
Result →
75
65
2
45
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CARSTENSEN Lucas | 69 |
| 3 | BRINKMAN David | 65 |
| 24 | MERSEBURG Dominik | 75 |
| 26 | KWAK Rinze | 72 |
| 45 | MÜNZER Jan | 71 |