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 + 30
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TANFIELD Charlie | 80 |
| 2 | QUARTERMAN Charlie | 75 |
| 3 | PIDCOCK Thomas | 58 |
| 4 | HAYTER Ethan | 70 |
| 5 | SCOTT Robert | 73 |
| 8 | CULLAIGH Gabriel | 78 |
| 10 | PERRETT William | 72 |
| 12 | WRIGHT Fred | 75 |
| 13 | TURNER Ben | 74 |
| 14 | DOUBLE Paul | 56 |
| 15 | KYFFIN Zeb | 72 |
| 17 | STEWART Jake | 66 |
| 18 | MCKIBBIN Nic | 70 |
| 20 | BURNETT Marcus | 71 |
| 23 | HOLT Joe | 68 |
| 30 | BRITTON Rhys | 69 |
| 39 | WALLS Matthew | 72 |