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 - 11
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Jungels
1
70 kgHowson
2
68 kgLe Gac
3
70 kgViennet
5
70 kgGrigorev
7
73 kgChirico
8
58 kgChavanne
11
83 kgKamp
14
74 kg
1
70 kgHowson
2
68 kgLe Gac
3
70 kgViennet
5
70 kgGrigorev
7
73 kgChirico
8
58 kgChavanne
11
83 kgKamp
14
74 kg
Weight (KG) →
Result →
83
58
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JUNGELS Bob | 70 |
| 2 | HOWSON Damien | 68 |
| 3 | LE GAC Olivier | 70 |
| 5 | VIENNET Emilien | 70 |
| 7 | GRIGOREV Aleksandr | 73 |
| 8 | CHIRICO Luca | 58 |
| 11 | CHAVANNE Gabriel | 83 |
| 14 | KAMP Alexander | 74 |