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 = 0.3 * weight - 14
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SOSA Iván Ramiro | 52 |
| 2 | FLÓREZ Miguel Eduardo | 57 |
| 3 | ROCHAS Rémy | 51 |
| 5 | BOU Joan | 62 |
| 7 | GREGAARD Jonas | 66 |
| 8 | GAMPER Patrick | 80 |
| 9 | SEVILLA Diego Pablo | 64 |
| 10 | CASTRILLO Jaime | 65 |
| 11 | LÓPEZ Juan Pedro | 60 |
| 12 | GAZZOLI Michele | 76 |
| 13 | ROPERO Alejandro | 61 |
| 14 | GUERNALEC Thibault | 71 |
| 15 | MOSCHETTI Matteo | 73 |