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 - 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Zabel
2
69 kgFagnini
4
70 kgHauptman
5
70 kgEdo
6
64 kgDean
9
72 kgRubiera
10
69 kg
2
69 kgFagnini
4
70 kgHauptman
5
70 kgEdo
6
64 kgDean
9
72 kgRubiera
10
69 kg
Weight (KG) →
Result →
72
64
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ZABEL Erik | 69 |
| 4 | FAGNINI Gian Matteo | 70 |
| 5 | HAUPTMAN Andrej | 70 |
| 6 | EDO Ángel | 64 |
| 9 | DEAN Julian | 72 |
| 10 | RUBIERA José Luis | 69 |