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 = 0.6 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GAYANT Martial | 69 |
| 16 | HINAULT Bernard | 62 |
| 18 | FIGNON Laurent | 67 |
| 24 | SARONNI Giuseppe | 65 |
| 35 | DELGADO Pedro | 64 |
| 41 | KUIPER Hennie | 69 |
| 42 | DIDIER Lucien | 67 |
| 51 | LEMOND Greg | 67 |