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 + 33
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BERNAS Paweł | 77 |
| 4 | SHPILEVSKY Boris | 78 |
| 5 | BENFATTO Marco | 71 |
| 7 | GAVAZZI Mattia | 70 |
| 11 | GALEYEV Vadim | 68 |
| 12 | BRAMMEIER Matt | 72 |
| 13 | SCHNAIDT Fabian | 70 |
| 14 | BANASZEK Adrian | 79 |
| 17 | RUDOLPH Malcolm | 69 |
| 19 | HOLLER Nikodemus | 58 |
| 20 | WANG Meiyin | 70 |
| 26 | BIZHIGITOV Zhandos | 76 |
| 28 | JANORSCHKE Grischa | 78 |
| 30 | BUTS Vitaliy | 68 |