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 | DENNIS Rohan | 72 |
| 2 | HOWSON Damien | 68 |
| 3 | FLAKEMORE Campbell | 72 |
| 4 | MCCARTHY Jay | 63 |
| 7 | WATSON Calvin | 72 |
| 10 | MORTON Lachlan | 62 |
| 11 | DOUGALL Nic | 72 |
| 31 | VANSTONE Justin | 67 |
| 32 | SPOKES Samuel | 63 |
| 34 | JONES Brenton | 81 |
| 37 | KERBY Jordan | 71 |
| 42 | HILL Benjamin | 67 |