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 + 29
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | EDWARDS Liam | 60 |
| 3 | PLOWRIGHT Jensen | 80 |
| 7 | SAYERS Cooper | 65 |
| 11 | IRVINE Declan | 75 |
| 15 | METCALFE Ben | 59 |
| 18 | LYNCH Tom | 73 |
| 20 | BERWICK Sebastian | 59 |
| 27 | JONES Thomas | 61 |
| 30 | SCHULTZ Elliot | 62 |
| 34 | PLAPP Luke | 72 |
| 40 | QUICK Blake | 77 |
| 42 | LINDORFF Tyler | 60 |