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 + 30
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LEMOND Greg | 67 |
| 3 | SARONNI Giuseppe | 65 |
| 4 | VANDERAERDEN Eric | 74 |
| 5 | HINAULT Bernard | 62 |
| 12 | FIGNON Laurent | 67 |
| 17 | GAYANT Martial | 69 |
| 25 | KUIPER Hennie | 69 |
| 29 | DELGADO Pedro | 64 |
| 38 | DIDIER Lucien | 67 |