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 = 44.5 * weight - 2913
This means that on average for every extra kilogram weight a rider loses 44.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HINAULT Bernard | 62 |
| 7 | FIGNON Laurent | 67 |
| 13 | LEMOND Greg | 67 |
| 14 | KUIPER Hennie | 69 |
| 17 | SARONNI Giuseppe | 65 |
| 25 | FERNÁNDEZ Juan | 68 |
| 33 | GAYANT Martial | 69 |
| 35 | DIDIER Lucien | 67 |
| 48 | DELGADO Pedro | 64 |
| 51 | VILAMAJO Jaime | 70 |
| 89 | VANDERAERDEN Eric | 74 |
| 990 | MARTINELLI Giuseppe | 74 |