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 - 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOUHANNI Nacer | 65 |
| 2 | LADAGNOUS Matthieu | 73 |
| 3 | DEBUSSCHERE Jens | 77 |
| 4 | DELFOSSE Sébastien | 73 |
| 5 | JAUREGUI Quentin | 60 |
| 6 | MCLAY Daniel | 72 |
| 7 | GUARDINI Andrea | 66 |
| 8 | ENGER Sondre Holst | 69 |
| 9 | LOUBET Julien | 66 |
| 10 | PELLAUD Simon | 70 |
| 11 | DEHAES Kenny | 73 |
| 12 | CALMEJANE Lilian | 70 |
| 13 | LAPORTE Christophe | 76 |