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 + 12
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KITTEL Marcel | 82 |
| 2 | CAVENDISH Mark | 70 |
| 3 | RENSHAW Mark | 74 |
| 4 | GREIPEL André | 80 |
| 5 | VAN HUMMEL Kenny | 64 |
| 6 | BOOM Lars | 75 |
| 7 | NIZZOLO Giacomo | 72 |
| 8 | ROELANDTS Jürgen | 78 |
| 9 | FLECHA Juan Antonio | 72 |
| 10 | HENDERSON Gregory | 75 |