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 = -0.5 * weight + 45
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHAMBERLAIN Oscar | 74 |
| 2 | HOLMES Wil | 64 |
| 3 | CRANAGE Joshua | 63 |
| 4 | HADDEN Nate | 68 |
| 8 | BLANNIN Noah | 65 |
| 14 | HARVEY Hugh | 75 |
| 17 | MCROBBIE Finlay | 66 |
| 19 | GRIERSON Josiah | 68 |
| 20 | SMITH Jeremy | 58 |
| 26 | WHITE Alex | 71 |
| 41 | JOHNSTONE Caleb | 63 |