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 = -0.7 * weight + 58
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FREIBERG Michael | 82 |
| 2 | HARPER Chris | 67 |
| 3 | MEYER Cameron | 70 |
| 4 | DURBRIDGE Luke | 78 |
| 5 | SUNDERLAND Dylan | 67 |
| 6 | BOWDEN Scott | 65 |
| 8 | HAMILTON Lucas | 71 |
| 9 | SCHULTZ Nick | 68 |
| 10 | HINDLEY Jai | 60 |
| 16 | STORER Michael | 63 |
| 18 | HILL Benjamin | 67 |
| 19 | MONK Cyrus | 67 |
| 20 | HANSEN Adam | 72 |
| 21 | WHELAN James | 64 |
| 22 | HOWSON Damien | 68 |
| 25 | DONOHOE Alistair | 62 |