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 + 2
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ANDERSEN Christian | 71 |
| 2 | SWEET Jay | 69 |
| 3 | MITCHELL Glen | 70 |
| 10 | WHITE Matthew | 72 |
| 12 | VALACH Ján | 75 |
| 14 | HAYLES Robert | 80 |
| 15 | NEWTON Christopher | 69 |
| 19 | ESPIRITU Victor | 56 |
| 30 | GRABSCH Ralf | 81 |
| 32 | GONO Marcel | 69 |