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 = -0.6 * weight + 65
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SWEET Jay | 69 |
| 2 | ANDERSEN Christian | 71 |
| 4 | MITCHELL Glen | 70 |
| 6 | HAYLES Robert | 80 |
| 14 | NEWTON Christopher | 69 |
| 17 | VALACH Ján | 75 |
| 20 | WHITE Matthew | 72 |
| 24 | GRABSCH Ralf | 81 |
| 33 | ESPIRITU Victor | 56 |
| 43 | TANG Xuezhong | 71 |
| 47 | GONO Marcel | 69 |