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 + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TOUMIRE Hugo | 69 |
| 4 | PENHOËT Paul | 64 |
| 5 | PICCOLO Andrea | 64 |
| 6 | ROSNER Linus | 68 |
| 7 | HESSMANN Michel | 78 |
| 8 | TIBERI Antonio | 62 |
| 9 | VANDENBULCKE Alex | 61 |
| 10 | BALLERSTEDT Maurice | 76 |
| 12 | MURN Boštjan | 77 |
| 14 | BRENNER Marco | 59 |
| 15 | PARET-PEINTRE Valentin | 52 |
| 17 | PONOMAR Andrii | 65 |
| 18 | BITTNER Pavel | 73 |
| 19 | STAUNE-MITTET Johannes | 67 |