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 - 16
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BUDYAK Anatoliy | 53 |
| 2 | MARTINGIL César | 67 |
| 3 | ARANBURU Alex | 63 |
| 4 | IRISARRI Jon | 66 |
| 5 | CARVALHO Rui | 60 |
| 7 | RIBEIRO David | 63 |
| 9 | GONÇALVES Gaspar | 64 |
| 11 | SILVA Paulo | 54 |
| 15 | NUNES Hugo | 64 |
| 17 | NEVES José | 61 |
| 25 | JUARISTI Txomin | 67.5 |