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 * weight + 23
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAWLESS Chris | 72 |
| 2 | CULLAIGH Gabriel | 78 |
| 3 | GEOGHEGAN HART Tao | 65 |
| 4 | GIBSON Matthew | 76 |
| 5 | DAVIES Scott | 66 |
| 7 | SHAW James | 63 |
| 8 | KNOX James | 58 |
| 16 | SCOTT Jacob | 68 |
| 29 | WILLIAMS Stephen | 59 |
| 39 | SWIFT Connor | 75 |
| 44 | TANFIELD Charlie | 80 |
| 46 | PERRETT William | 72 |
| 51 | STEWART Mark | 70 |
| 54 | STEDMAN Maximilian | 54 |
| 55 | HALL Luc | 72 |