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 - 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HAEDO Lucas Sebastián | 64 |
| 2 | OLIVEIRA Rui | 66 |
| 5 | MURPHY John | 81 |
| 6 | HERNANDEZ Michael | 74 |
| 7 | MANNION Gavin | 58 |
| 10 | GRANIGAN Noah | 76 |
| 13 | DISERA Peter | 71 |
| 14 | CÔTÉ Pier-André | 74 |
| 18 | ZIMMER Matt | 68 |