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 + 50
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GERDEMANN Linus | 71 |
| 2 | LASTRAS Pablo | 68 |
| 3 | BRESCHEL Matti | 70 |
| 4 | PAOLINI Luca | 66 |
| 5 | HUTAROVICH Yauheni | 71 |
| 6 | GRABOVSKYY Dmytro | 69 |
| 7 | ROJAS José Joaquín | 70 |
| 8 | FARRAR Tyler | 73 |
| 9 | WEGMANN Fabian | 60 |
| 10 | BANDIERA Marco | 68 |
| 11 | EVANS Cadel | 64 |
| 12 | CLARKE Simon | 63 |
| 14 | GARZELLI Stefano | 62 |