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 = 1.1 * weight - 69
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HINAULT Bernard | 62 |
| 2 | ALGERI Vittorio | 68 |
| 4 | GODEFROOT Walter | 73 |
| 6 | DIERICKX André | 74 |
| 9 | GAVAZZI Pierino | 67 |
| 10 | RAAS Jan | 72 |
| 18 | VAN KATWIJK Fons | 75 |
| 22 | DEN HERTOG Fedor | 76 |