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 - 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BECKE Daniel | 75 |
| 2 | GERRANS Simon | 62 |
| 3 | DAVIS Allan | 73 |
| 4 | CLARKE Hilton | 70 |
| 5 | BARREDO Carlos | 61 |
| 6 | BOTCHAROV Alexandre | 54 |
| 8 | SÁNCHEZ Luis León | 73 |
| 9 | BATES Gene | 61 |
| 10 | COLLI Daniele | 73 |
| 12 | MCEWEN Robbie | 67 |
| 13 | EVANS Cadel | 64 |
| 15 | AERTS Mario | 68 |
| 16 | RENSHAW Mark | 74 |
| 17 | GOSS Matthew | 70 |
| 18 | HAYMAN Mathew | 78 |
| 19 | CLARKE Jonathan | 68 |