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 = -0.4 * weight + 37
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Leu
1
80 kgØrn-Kristoff
4
76 kgL'Hote
5
67 kgGualdi
6
61 kgChamberlain
11
74 kgSolen
12
67 kgWidar
17
54 kg
1
80 kgØrn-Kristoff
4
76 kgL'Hote
5
67 kgGualdi
6
61 kgChamberlain
11
74 kgSolen
12
67 kgWidar
17
54 kg
Weight (KG) →
Result →
80
54
1
17
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LEU Richard | 80 |
| 4 | ØRN-KRISTOFF Felix | 76 |
| 5 | L'HOTE Antoine | 67 |
| 6 | GUALDI Simone | 61 |
| 11 | CHAMBERLAIN Oscar | 74 |
| 12 | SOLEN Keije | 67 |
| 17 | WIDAR Jarno | 54 |