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 + 40
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PITHIE Laurence | 74 |
| 3 | JACKSON George | 75 |
| 6 | RITCHIE Samuel | 75 |
| 8 | BURNETT Josh | 73 |
| 10 | BIDWELL Adam | 61 |
| 12 | GRAVE Oliver | 69 |
| 16 | GILBERTSON Theo | 68 |
| 19 | WATTS Kiaan | 72 |
| 24 | PATTERSON Zakk | 76 |
| 28 | NISBET Callum | 68 |