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 = -0.1 * weight + 19
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCOTSON Callum | 77 |
| 2 | JENNER Samuel | 64 |
| 4 | MONK Cyrus | 67 |
| 6 | WHELAN James | 64 |
| 8 | WELSFORD Sam | 79 |
| 9 | STANNARD Robert | 74 |
| 13 | BERWICK Sebastian | 59 |
| 20 | EVANS Alexander | 63 |
| 21 | SWEENY Harry | 75 |
| 24 | DRIZNERS Jarrad | 70 |
| 25 | O'BRIEN Kelland | 79 |
| 31 | JONES Thomas | 61 |
| 36 | SENS Connor | 71 |