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 + 27
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DAVIES Scott | 66 |
| 2 | DOULL Owain | 71 |
| 3 | GEOGHEGAN HART Tao | 65 |
| 6 | SHAW James | 63 |
| 7 | STEWART Mark | 70 |
| 8 | CULLAIGH Gabriel | 78 |
| 9 | GIBSON Matthew | 76 |
| 13 | LAWLESS Chris | 72 |
| 14 | WOOD Oliver | 72 |
| 15 | TANFIELD Charlie | 80 |
| 16 | SWIFT Connor | 75 |
| 17 | LATHAM Christopher | 81 |
| 20 | HALL Luc | 72 |
| 23 | BURTON Germain | 55 |
| 26 | WILLIAMS Stephen | 59 |
| 31 | SCOTT Jacob | 68 |