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 - 9
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EKIMOV Viatcheslav | 69 |
| 2 | OLANO Abraham | 70 |
| 3 | MEIER Roland | 60 |
| 4 | BÖLTS Udo | 73 |
| 5 | BOARDMAN Chris | 70 |
| 7 | MAIGNAN Gilles | 63 |
| 8 | KASPUTIS Artūras | 83 |
| 9 | GARCÍA ACOSTA José Vicente | 76 |
| 10 | MOREAU Christophe | 71 |