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 = -0.8 * weight + 73
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCOTSON Callum | 77 |
| 2 | HAMILTON Lucas | 71 |
| 5 | STORER Michael | 63 |
| 9 | HINDLEY Jai | 60 |
| 10 | WELSFORD Sam | 79 |
| 29 | CHRISTENSEN Ryan | 63 |
| 32 | JENNER Samuel | 64 |
| 40 | SUNDERLAND Dylan | 67 |