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 = -0.3 * weight + 23
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Malucelli
1
68 kgMareczko
2
67 kgLauk
4
69 kgPerry
5
71 kgLonardi
6
70 kgKretschy
8
63 kg
1
68 kgMareczko
2
67 kgLauk
4
69 kgPerry
5
71 kgLonardi
6
70 kgKretschy
8
63 kg
Weight (KG) →
Result →
71
63
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MALUCELLI Matteo | 68 |
| 2 | MARECZKO Jakub | 67 |
| 4 | LAUK Karl Patrick | 69 |
| 5 | PERRY Benjamin | 71 |
| 6 | LONARDI Giovanni | 70 |
| 8 | KRETSCHY Moritz | 63 |