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 = -0.6 * weight + 51
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GAVAZZI Mattia | 70 |
| 2 | SHPILEVSKY Boris | 78 |
| 4 | CANTWELL Jonathan | 69 |
| 5 | BANASZEK Adrian | 79 |
| 7 | SCHNAIDT Fabian | 70 |
| 9 | FORKE Sebastian | 78 |
| 10 | BENFATTO Marco | 71 |
| 11 | BERNAS Paweł | 77 |
| 13 | OCKELOEN Jasper | 66 |
| 14 | GALEYEV Vadim | 68 |
| 15 | BUTS Vitaliy | 68 |
| 16 | KADLEC Milan | 70 |
| 17 | TORRES Albert | 70 |
| 19 | WANG Meiyin | 70 |