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 = -0.1 * weight + 11
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Frattini
1
60 kgZülle
2
72 kgBerzin
3
64 kgElli
6
71 kgCuesta
7
62 kgTotschnig
8
62 kgPiccoli
9
64 kg
1
60 kgZülle
2
72 kgBerzin
3
64 kgElli
6
71 kgCuesta
7
62 kgTotschnig
8
62 kgPiccoli
9
64 kg
Weight (KG) →
Result →
72
60
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FRATTINI Francesco | 60 |
| 2 | ZÜLLE Alex | 72 |
| 3 | BERZIN Evgeni | 64 |
| 6 | ELLI Alberto | 71 |
| 7 | CUESTA Iñigo | 62 |
| 8 | TOTSCHNIG Georg | 62 |
| 9 | PICCOLI Mariano | 64 |