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 = -0.6 * weight + 63
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EWAN Caleb | 69 |
| 2 | POWER Robert | 68 |
| 10 | HAIG Jack | 67 |
| 11 | FLAKEMORE Campbell | 72 |
| 16 | SCHULTZ Nick | 68 |
| 18 | SPOKES Samuel | 63 |
| 19 | KERBY Jordan | 71 |
| 20 | OVETT Freddy | 64 |
| 24 | CAVANAGH Ryan | 72 |
| 29 | CANTY Brendan | 60 |
| 32 | HAMILTON Chris | 70 |
| 52 | HARPER Chris | 67 |
| 54 | MACANALLY Ryan | 68 |