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 = -1.3 * weight + 93
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
Rajović
1
74 kgHonig
8
61 kgViloria
15
64 kgMerchan
19
57 kgRubiano
29
58 kg
1
74 kgHonig
8
61 kgViloria
15
64 kgMerchan
19
57 kgRubiano
29
58 kg
Weight (KG) →
Result →
74
57
1
29
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RAJOVIĆ Dušan | 74 |
| 8 | HONIG Reinier | 61 |
| 15 | VILORIA Enmanuel David | 64 |
| 19 | MERCHAN Didier | 57 |
| 29 | RUBIANO Miguel Angel | 58 |