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 = -2.3 * weight + 191
This means that on average for every extra kilogram weight a rider loses -2.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KITTEL Marcel | 82 |
| 2 | GHYSELINCK Jan | 74 |
| 3 | ŠIŠKEVIČIUS Evaldas | 80 |
| 6 | GRETSCH Patrick | 69 |
| 7 | JOSEPH Gregory | 67 |
| 9 | CORDEEL Sander | 80 |
| 24 | FORKE Sebastian | 78 |
| 36 | BOECKMANS Kris | 76 |
| 48 | PEETERS Kevin | 67 |
| 53 | BERTRAND Jonathan | 65 |
| 61 | DUPONT Timothy | 72 |
| 63 | VAN STAEYEN Michael | 62 |