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 = 1.7 * weight - 81
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | WONG Kam-Po | 65 |
| 4 | IGLINSKIY Maxim | 67 |
| 6 | SCHEIRLINCKX Bert | 67 |
| 10 | SUZUKI Shinri | 60 |
| 15 | DAVIS Scott | 60 |
| 16 | FUKUSHIMA Shinichi | 62 |
| 22 | BAZAYEV Assan | 62 |
| 25 | BATES Gene | 61 |
| 68 | STAM Danny | 64 |
| 70 | FUJINO Tomokazu | 63 |
| 81 | ABE Yoshiyuki | 67 |