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 = 0.1 * weight + 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DAVIES Scott | 66 |
| 2 | DOULL Owain | 71 |
| 3 | MCLAY Daniel | 72 |
| 4 | CARTHY Hugh | 69 |
| 5 | TANFIELD Harry | 79.5 |
| 7 | PETERS Alex | 67 |
| 12 | WOOD Oliver | 72 |
| 13 | LATHAM Christopher | 81 |
| 14 | SCOTT Jacob | 68 |
| 31 | TREMLETT Sebastian | 70 |