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 - 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PARK Sung Baek | 73 |
| 3 | WONG Kam-Po | 65 |
| 4 | FUKUSHIMA Shinichi | 62 |
| 7 | MIYAZAWA Takashi | 61 |
| 8 | MCCANN David | 73 |
| 11 | KLOSTERGAARD Kasper | 69 |
| 14 | REIHS Michael | 75 |
| 18 | SHIMIZU Miyataka | 60 |
| 34 | CHAN Chun Hing | 70 |