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 = 0.8 * weight - 27
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | CORDEEL Sander | 80 |
| 6 | JOSEPH Gregory | 67 |
| 12 | VAN STAEYEN Michael | 62 |
| 14 | KITTEL Marcel | 82 |
| 15 | PEETERS Kevin | 67 |
| 16 | DUPONT Timothy | 72 |
| 18 | BERTRAND Jonathan | 65 |
| 21 | BOECKMANS Kris | 76 |
| 40 | ŠIŠKEVIČIUS Evaldas | 80 |
| 60 | GRETSCH Patrick | 69 |
| 71 | FORKE Sebastian | 78 |
| 72 | GHYSELINCK Jan | 74 |