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 = 2.1 * weight - 91
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | SUZUKI Shinri | 60 |
| 9 | IGLINSKIY Maxim | 67 |
| 10 | BATES Gene | 61 |
| 34 | WONG Kam-Po | 65 |
| 39 | SCHEIRLINCKX Bert | 67 |
| 41 | BAZAYEV Assan | 62 |
| 52 | DAVIS Scott | 60 |
| 54 | FUKUSHIMA Shinichi | 62 |
| 76 | FUJINO Tomokazu | 63 |
| 79 | ABE Yoshiyuki | 67 |
| 87 | STAM Danny | 64 |