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 = -0.3 * weight + 34
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SARONNI Giuseppe | 65 |
| 2 | BARONCHELLI Gianbattista | 72 |
| 3 | KNUDSEN Knut | 79 |
| 8 | GAVAZZI Pierino | 67 |
| 11 | PRIM Tommy | 76 |
| 12 | MARTINELLI Giuseppe | 74 |
| 17 | PARECCHINI Aldo | 71 |
| 18 | ALGERI Pietro | 69 |
| 19 | VANDI Alfio | 64 |