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 + 9
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Antomarchi
2
70 kgNeirynck
3
78 kgGalland
4
62 kgFinot
5
65 kgFeillu
6
69 kgJørgensen
8
60 kgJodts
10
74 kg
2
70 kgNeirynck
3
78 kgGalland
4
62 kgFinot
5
65 kgFeillu
6
69 kgJørgensen
8
60 kgJodts
10
74 kg
Weight (KG) →
Result →
78
60
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ANTOMARCHI Julien | 70 |
| 3 | NEIRYNCK Stijn | 78 |
| 4 | GALLAND Jérémie | 62 |
| 5 | FINOT Frédéric | 65 |
| 6 | FEILLU Brice | 69 |
| 8 | JØRGENSEN René | 60 |
| 10 | JODTS Sven | 74 |