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 - 19
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | JARAMILLO Daniel | 63 |
| 4 | HAEDO Lucas Sebastián | 64 |
| 5 | ACEVEDO Janier | 63 |
| 6 | PRADO Ignacio de Jesús | 65 |
| 7 | MCGEOUGH Cormac | 76 |
| 10 | BENNETT Sean | 66 |
| 13 | CÔTÉ Pier-André | 74 |
| 14 | HERNANDEZ Michael | 74 |
| 15 | HUFFMAN Evan | 71 |
| 20 | PICCOLI James | 65 |