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 = 0.1 * weight + 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WHITEHOUSE Daniel | 58 |
| 2 | PLAZA Rubén | 77 |
| 5 | SILVA Joaquim | 66 |
| 7 | JUARISTI Txomin | 67.5 |
| 9 | DUARTE Fabio | 55 |
| 10 | SIMÓN Jordi | 64 |
| 11 | CAICEDO Jonathan Klever | 62 |
| 12 | CHALAPUD Robinson | 63 |
| 13 | EVTUSHENKO Alexander | 72 |
| 14 | MCNULTY Brandon | 69 |
| 15 | MAS Lluís | 69 |
| 16 | SILVA Bruno | 59 |
| 17 | MIHAYLOV Nikolay | 70 |
| 18 | WILLIAMS Tyler | 73 |