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 + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Malucelli
1
68 kgBenfatto
3
71 kgMareczko
4
67 kgDavids
7
72 kgCima
8
70 kgAular
10
65 kg
1
68 kgBenfatto
3
71 kgMareczko
4
67 kgDavids
7
72 kgCima
8
70 kgAular
10
65 kg
Weight (KG) →
Result →
72
65
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MALUCELLI Matteo | 68 |
| 3 | BENFATTO Marco | 71 |
| 4 | MARECZKO Jakub | 67 |
| 7 | DAVIDS Brendon | 72 |
| 8 | CIMA Damiano | 70 |
| 10 | AULAR Orluis | 65 |