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 = 0.4 * weight - 15
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ALLENO Clément | 69 |
| 2 | GARCÍA PIERNA Carlos | 58 |
| 5 | FRANCISCO Jude Gabriel | 62 |
| 6 | ANGULO Antonio | 67 |
| 11 | FAURA José Luis | 67 |
| 12 | FOUCHÉ James | 71 |
| 14 | HADDEN Nate | 68 |
| 16 | SESSINI Hugh | 62 |
| 17 | AHMAD Muhammad Ameer | 66 |
| 20 | CARMAN Ben | 66 |
| 22 | DE COMARMOND Aurelien | 66 |