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 = 0.9 * weight - 31
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | ZAMBANINI Edoardo | 62 |
| 7 | SANDRI Edoardo | 56 |
| 8 | BUSATTO Francesco | 62 |
| 13 | GLIVAR Gal | 64 |
| 19 | ARRIETA Igor | 64 |
| 20 | IACOMONI Federico | 69 |
| 26 | HOPKINS Dylan | 74 |
| 27 | MALAVER Brayan Esteban | 61 |
| 28 | EPIS Giosuè | 64 |
| 29 | KABAS Maximilian | 60 |
| 30 | KINGSTON Matthew | 76 |
| 32 | ZIHERL Luka | 74 |
| 34 | CANDY Nicholas | 59 |
| 42 | KRIJNSEN Jelte | 73 |
| 44 | SCHMIDBAUER Maximilian | 69 |
| 45 | COLNAR Aljaž | 63 |