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 + 27
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KERBY Jordan | 71 |
| 2 | HOWSON Damien | 68 |
| 3 | HAIG Jack | 67 |
| 10 | MACANALLY Ryan | 68 |
| 11 | JONES Brenton | 81 |
| 15 | FLAKEMORE Campbell | 72 |
| 16 | WATSON Calvin | 72 |
| 17 | PHELAN Adam | 73 |
| 18 | SCHULTZ Nick | 68 |
| 22 | SPOKES Samuel | 63 |
| 27 | EWAN Caleb | 69 |