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 = 0.4 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KERGOZOU DE LA BOESSIERE Nick | 74 |
| 2 | PITHIE Laurence | 74 |
| 4 | JACKSON George | 75 |
| 5 | STEWART Mark | 70 |
| 7 | JONES Ollie | 75 |
| 8 | PATTERSON Zakk | 76 |
| 10 | RITCHIE Samuel | 75 |
| 12 | ARCHBOLD Shane | 79 |
| 14 | WATTS Kiaan | 72 |