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 - 19
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JAUREGUI Quentin | 60 |
| 2 | QUINTANA Nairo | 58 |
| 3 | BÉRARD Julien | 70 |
| 4 | DOMONT Axel | 65 |
| 5 | HARDY Romain | 62 |
| 6 | BREEN Vegard | 74 |
| 7 | DELAGE Mickaël | 70 |
| 8 | OFFREDO Yoann | 69 |
| 9 | VAUGRENARD Benoît | 72 |