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 = 2.6 * weight + 353
This means that on average for every extra kilogram weight a rider loses 2.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARTINELLI Giuseppe | 74 |
| 2 | GAVAZZI Pierino | 67 |
| 8 | MOSER Francesco | 79 |
| 14 | SARONNI Giuseppe | 65 |
| 24 | KNUDSEN Knut | 79 |
| 990 | JOHANSSON Bernt | 71 |
| 990 | SCHUITEN Roy | 83 |
| 990 | EDWARDS Phil | 80 |
| 990 | RICCOMI Walter | 66 |
| 990 | ALGERI Vittorio | 68 |
| 990 | PARECCHINI Aldo | 71 |