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 - 16
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MONK Cyrus | 67 |
| 2 | WHELAN James | 64 |
| 4 | SUNDERLAND Dylan | 67 |
| 9 | SCOTSON Callum | 77 |
| 11 | BERWICK Sebastian | 59 |
| 12 | JENNER Samuel | 64 |
| 13 | EVANS Alexander | 63 |
| 14 | SWEENY Harry | 75 |
| 17 | DRIZNERS Jarrad | 70 |
| 21 | BERENDS Ethan | 61 |
| 25 | STANNARD Robert | 74 |
| 28 | SCOTT Cameron | 80 |
| 46 | WELSFORD Sam | 79 |
| 57 | SODEN Bradley | 73 |
| 63 | JONES Thomas | 61 |