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 = 1.7 * weight - 93
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SARONNI Giuseppe | 65 |
| 3 | FIGNON Laurent | 67 |
| 4 | VANDERAERDEN Eric | 74 |
| 6 | HINAULT Bernard | 62 |
| 15 | DIDIER Lucien | 67 |
| 17 | LEMOND Greg | 67 |
| 18 | DELGADO Pedro | 64 |
| 21 | KUIPER Hennie | 69 |
| 25 | GAYANT Martial | 69 |
| 59 | VILAMAJO Jaime | 70 |
| 75 | FERNÁNDEZ Juan | 68 |