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 = -0.2 * weight + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | EDMONDSON Joshua | 62 |
| 4 | MULLEN Ryan | 77 |
| 5 | JANSSENS Jimmy | 74 |
| 6 | SCHÖNBERGER Sebastian | 64 |
| 11 | LAVERACK Edward | 62 |
| 12 | KRUOPIS Aidis | 80 |
| 13 | MACKINNON Sean | 75 |
| 18 | GATE Aaron | 71 |
| 19 | TIZZA Marco | 58 |
| 22 | VIGANÒ Davide | 67 |