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 = -0.5 * weight + 52
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MEYER Cameron | 70 |
| 2 | O'BRIEN Kelland | 79 |
| 3 | BOWDEN Scott | 65 |
| 6 | WHELAN James | 64 |
| 7 | DURBRIDGE Luke | 78 |
| 9 | ROE Timothy | 66 |
| 10 | HARPER Chris | 67 |
| 11 | BERWICK Sebastian | 59 |
| 14 | EARLE Nathan | 70 |
| 16 | JENNER Samuel | 64 |
| 17 | PLAPP Luke | 72 |
| 22 | BUTTIGIEG Aidan | 68 |
| 27 | CULEY Marcus | 69 |
| 30 | MONK Cyrus | 67 |
| 33 | DYBALL Benjamin | 63 |
| 36 | HUCKER Robbie | 68 |