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 + 13
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROGLIČ Primož | 65 |
| 2 | MCNULTY Brandon | 69 |
| 3 | VINGEGAARD Jonas | 58 |
| 4 | FOSS Tobias | 74 |
| 5 | POGAČAR Tadej | 66 |
| 6 | YATES Adam | 58 |
| 7 | BEVIN Patrick | 75 |
| 8 | SCHELLING Ide | 66 |
| 9 | ARANBURU Alex | 63 |
| 10 | SCHACHMANN Maximilian | 71 |
| 11 | KELDERMAN Wilco | 65 |
| 12 | HIRSCHI Marc | 61 |
| 13 | BILBAO Pello | 60 |
| 14 | FUGLSANG Jakob | 67 |
| 15 | CATTANEO Mattia | 67 |