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 * weight + 10
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BONIFAZIO Niccolò | 72 |
| 2 | GUARDINI Andrea | 66 |
| 3 | GROSU Eduard-Michael | 68 |
| 5 | MINALI Riccardo | 74 |
| 6 | NIZZOLO Giacomo | 72 |
| 7 | KUMP Marko | 68 |
| 8 | MURPHY John | 81 |
| 9 | JERMAN Žiga | 67 |
| 10 | ZURLO Federico | 70 |
| 11 | GROŠELJ Matic | 70 |
| 12 | DUQUENNOY Jimmy | 75 |
| 13 | HILL Benjamin | 67 |
| 15 | MOHORIČ Matej | 71 |
| 16 | HORVAT Žiga | 70 |
| 17 | ENGER Sondre Holst | 69 |