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 - 33
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BERENDS Ethan | 61 |
| 3 | MCCORMICK Hayden | 72.5 |
| 4 | LAMPIER Steven | 68 |
| 5 | ORAM James | 68 |
| 9 | STANNARD Robert | 74 |
| 10 | MUDGWAY Luke | 65 |
| 12 | DONOHOE Alistair | 62 |
| 15 | FITZWATER Matias | 67 |
| 17 | BROWN Connor | 74 |
| 25 | COYLE Jesse | 74 |