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 + 37
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MARTINELLI Giuseppe | 74 |
| 6 | GAVAZZI Pierino | 67 |
| 8 | PARECCHINI Aldo | 71 |
| 20 | VANDI Alfio | 64 |
| 25 | SEFTON Clyde | 68 |
| 34 | KNUDSEN Knut | 79 |
| 53 | JOHANSSON Bernt | 71 |
| 57 | ALGERI Pietro | 69 |
| 64 | GIMONDI Felice | 78 |
| 79 | CONTI Tino | 79 |
| 91 | ALGERI Vittorio | 68 |
| 100 | BIDDLE Bruce | 64 |