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 = 6.4 * weight - 321
This means that on average for every extra kilogram weight a rider loses 6.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FIGNON Laurent | 67 |
| 10 | VANDERAERDEN Eric | 74 |
| 12 | FERNÁNDEZ Juan | 68 |
| 19 | LEMOND Greg | 67 |
| 26 | DELGADO Pedro | 64 |
| 33 | KUIPER Hennie | 69 |
| 39 | VILAMAJO Jaime | 70 |
| 51 | DIDIER Lucien | 67 |
| 54 | HINAULT Bernard | 62 |
| 82 | SARONNI Giuseppe | 65 |
| 83 | MARTINELLI Giuseppe | 74 |
| 990 | GAYANT Martial | 69 |