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 = -0.6 * weight + 41
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Zabel
1
69 kgFagnini
2
70 kgSmetanine
3
69 kgEdo
4
64 kgBaldato
8
60 kgChiappucci
9
67 kg
1
69 kgFagnini
2
70 kgSmetanine
3
69 kgEdo
4
64 kgBaldato
8
60 kgChiappucci
9
67 kg
Weight (KG) →
Result →
70
60
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZABEL Erik | 69 |
| 2 | FAGNINI Gian Matteo | 70 |
| 3 | SMETANINE Serguei | 69 |
| 4 | EDO Ángel | 64 |
| 8 | BALDATO Fabio | 60 |
| 9 | CHIAPPUCCI Claudio | 67 |