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 + 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ANDERSON Ryan | 66 |
| 4 | PASSERON Aurélien | 73 |
| 8 | DAL-CIN Matteo | 77 |
| 9 | ROUTLEY Will | 69 |
| 12 | QUAST Ole | 67 |
| 15 | LAMBERT-LEMAY Simon | 81 |
| 22 | ROTH Ryan | 70 |
| 26 | ELDRIDGE Joe | 84 |
| 27 | CLANCY Stephen | 63 |
| 36 | MOLANO Juan Sebastián | 72 |