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 = 1.9 * weight - 95
This means that on average for every extra kilogram weight a rider loses 1.9 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
3 | JOVANOVIĆ Nebojša | 60 |
4 | MARIN Matej | 67 |
16 | FUKUSHIMA Shinichi | 62 |
17 | BOŽIČ Borut | 70 |
18 | KÜÇÜKBAY Kemal | 70 |
20 | KLOSTERGAARD Kasper | 69 |
22 | GERGANOV Evgeni | 60 |
32 | TASHIRO Yasutaka | 54 |
60 | KOGUT Volodymyr | 73 |
69 | GAZVODA Gregor | 72 |
76 | WINN Julian | 70 |