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 = -0.3 * weight + 36
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MATTHEWS Michael | 72 |
| 4 | TLEUBAYEV Ruslan | 70 |
| 6 | THOMSON Jay Robert | 75 |
| 9 | SALEH Mohd Zamri | 58 |
| 11 | HASELBACHER René | 69 |
| 12 | WEISSINGER René | 74 |
| 13 | EIBEGGER Markus | 68 |
| 15 | BELL Zach | 75 |
| 16 | BRÄNDLE Matthias | 80 |
| 18 | NISHITANI Taiji | 62 |
| 19 | GRABOVSKYY Dmytro | 69 |
| 24 | KVACHUK Oleksandr | 68 |
| 26 | PIDGORNYY Ruslan | 72 |
| 28 | WANG Meiyin | 70 |
| 29 | DE NEGRI Pier Paolo | 61 |