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 - 1
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 | GEOGHEGAN HART Tao | 65 |
| 3 | CULLAIGH Gabriel | 78 |
| 6 | SHAW James | 63 |
| 9 | STEWART Mark | 70 |
| 10 | LATHAM Christopher | 81 |
| 12 | WHITEHOUSE Daniel | 58 |
| 18 | WOOD Oliver | 72 |
| 20 | DIBBEN Jonathan | 78 |
| 22 | BOSTOCK Matthew | 69 |
| 23 | HOLT Joe | 68 |