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 + 18
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | OLIVER Ben | 71 |
| 2 | FOUCHÉ James | 71 |
| 4 | HEFFERNAN William | 60 |
| 5 | BURNETT Josh | 73 |
| 6 | MUDGWAY Luke | 65 |
| 7 | NIQUET-OLDEN Bentley | 75 |
| 11 | JACKSON George | 75 |
| 12 | RITCHIE Samuel | 75 |
| 16 | CLARK Boris | 68 |
| 21 | POLLEY Jack | 82 |
| 22 | DRAGE Jack | 55 |
| 23 | MERSEBURG Dominik | 75 |
| 25 | BAILEY Blake | 64 |
| 28 | GRAVE Oliver | 69 |