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 = 0.7 * weight - 28
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | CARMAN Ben | 66 |
| 4 | DONOHOE Alistair | 62 |
| 6 | SCOTSON Callum | 77 |
| 9 | HAMILTON Lucas | 71 |
| 15 | SUNDERLAND Dylan | 67 |
| 21 | CAVANAGH Ryan | 72 |
| 23 | POWER Robert | 68 |
| 33 | HINDLEY Jai | 60 |
| 37 | WELSFORD Sam | 79 |
| 39 | PRICE Corby | 77 |