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 = -0.2 * weight + 27
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JOHANSSON Bernt | 71 |
| 2 | BARONCHELLI Gianbattista | 72 |
| 3 | SARONNI Giuseppe | 65 |
| 4 | GAVAZZI Pierino | 67 |
| 5 | SEFTON Clyde | 68 |
| 7 | MOSER Francesco | 79 |
| 22 | VANDI Alfio | 64 |
| 28 | PRIM Tommy | 76 |
| 29 | MARCUSSEN Jørgen | 70 |
| 30 | SEGERSALL Alf | 65 |