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 = 19.4 * weight - 733
This means that on average for every extra kilogram weight a rider loses 19.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZOETEMELK Joop | 68 |
| 3 | SARONNI Giuseppe | 65 |
| 4 | BARONCHELLI Gianbattista | 72 |
| 9 | POULIDOR Raymond | 71 |
| 10 | HINAULT Bernard | 62 |
| 990 | SCHUITEN Roy | 83 |
| 990 | GODEFROOT Walter | 73 |
| 990 | DIDIER Lucien | 67 |
| 990 | MARTIN Raymond | 62 |
| 990 | TSCHAN Jürgen | 68 |
| 990 | OVION Régis | 64 |
| 990 | BITTINGER René | 69 |
| 990 | KELLY Sean | 77 |