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 + 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LE GAC Olivier | 70 |
| 2 | CHIRICO Luca | 58 |
| 3 | MCCARTHY Jay | 63 |
| 5 | HOWSON Damien | 68 |
| 6 | SHALUNOV Evgeny | 70 |
| 8 | MANAKOV Victor | 77 |
| 9 | KIRSCH Alex | 78 |
| 11 | GRIGOREV Aleksandr | 73 |
| 12 | VIENNET Emilien | 70 |
| 14 | MANFREDI Andrea | 54 |
| 16 | LIENHARD Fabian | 73 |