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 = 0.8 * weight - 35
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POLLENTIER Michel | 62 |
| 3 | MAERTENS Freddy | 65 |
| 5 | DIERICKX André | 74 |
| 6 | RAAS Jan | 72 |
| 8 | GODEFROOT Walter | 73 |
| 15 | VAN LOOY Frans | 75 |
| 16 | POULIDOR Raymond | 71 |
| 23 | MERCKX Eddy | 74 |
| 35 | VAN IMPE Lucien | 59 |
| 36 | KUIPER Hennie | 69 |
| 41 | TSCHAN Jürgen | 68 |
| 55 | DEMEYER Marc | 85 |