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 = -0.6 * weight + 57
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ARRIGHETTI Nicolò | 74 |
| 4 | BUSCHEK Paul | 67 |
| 5 | WOOD George | 64 |
| 7 | NOVÁK Pavel | 64 |
| 8 | GLIVAR Gal | 62 |
| 9 | ZAPATA Mauricio | 62 |
| 10 | OIOLI Manuel | 65 |
| 12 | ANDREAUS Marco | 68 |
| 13 | MONTOLI Andrea | 66 |
| 14 | JOHN Vincent | 65 |
| 15 | LOCK Dennis | 58 |
| 17 | BAGATIN Christian | 75 |
| 20 | HARDING Will | 65 |
| 23 | GRUSZCZYNSKI Filip | 60 |
| 30 | HARASIM Mihnea-Alexandru | 72 |
| 34 | PIFFER Christian | 59 |
| 35 | SERAFINI Flavio | 57 |