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 = -33.2 * weight + 2971
This means that on average for every extra kilogram weight a rider loses -33.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BARONCHELLI Gianbattista | 72 |
| 2 | ZOETEMELK Joop | 68 |
| 3 | KNUDSEN Knut | 79 |
| 4 | GIMONDI Felice | 78 |
| 990 | MERCKX Eddy | 74 |
| 990 | VAN IMPE Lucien | 59 |
| 990 | MARTINELLI Giuseppe | 74 |
| 990 | GAVAZZI Pierino | 67 |
| 990 | RICCOMI Walter | 66 |
| 990 | MARTIN Raymond | 62 |
| 990 | KELLY Sean | 77 |