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 = 6.3 * weight + 49
This means that on average for every extra kilogram weight a rider loses 6.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEN BAKKER Maarten | 71 |
| 4 | MUSEEUW Johan | 71 |
| 5 | SCIANDRI Maximilian | 75 |
| 6 | FARAZIJN Peter | 69 |
| 7 | ELLI Alberto | 71 |
| 8 | WAUTERS Marc | 73 |
| 9 | RICHARD Pascal | 67 |
| 990 | HOLM SØRENSEN Brian | 77 |
| 990 | BALLERINI Franco | 78 |
| 990 | YATES Sean | 74 |
| 990 | ZABEL Erik | 69 |
| 990 | JÄRMANN Rolf | 73 |
| 990 | WESEMANN Steffen | 72 |
| 990 | MAYA Carlos Alberto | 58 |