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 = -0.1 * weight + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PONOMAR Andrii | 65 |
| 2 | BRENNER Marco | 59 |
| 5 | LÜHRS Leslie | 83 |
| 8 | VACEK Mathias | 75 |
| 9 | GUDMESTAD Tord | 82 |
| 10 | LOVIDIUS Edvin | 70 |
| 13 | BALLERSTEDT Maurice | 76 |
| 14 | WILKSCH Hannes | 62 |
| 15 | WATSON Samuel | 68 |
| 16 | VERRE Alessandro | 59 |