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 = 1.1 * weight - 43
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FUKUSHIMA Shinichi | 62 |
| 7 | BOŽIČ Borut | 70 |
| 14 | KLOSTERGAARD Kasper | 69 |
| 19 | MARIN Matej | 67 |
| 28 | TASHIRO Yasutaka | 54 |
| 30 | JOVANOVIĆ Nebojša | 60 |
| 32 | GERGANOV Evgeni | 60 |
| 34 | KÜÇÜKBAY Kemal | 70 |
| 40 | GAZVODA Gregor | 72 |
| 54 | WINN Julian | 70 |
| 68 | KOGUT Volodymyr | 73 |