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 = -0.2 * weight + 27
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JOLY Émile | 75 |
| 2 | FAVÉ François | 72 |
| 3 | CLOAREC Pierre | 78 |
| 4 | DECROIX Emile | 68 |
| 7 | SPEICHER Georges | 73 |
| 9 | LE DROGO Paul | 69 |
| 10 | LOUYET Léon | 64 |
| 12 | LOUVIOT Raymond | 62 |
| 14 | THALLINGER Karl | 70 |
| 18 | BERNARD René | 69 |
| 19 | CORNEZ Fernand | 88 |
| 21 | LE GOFF Yves | 68 |
| 22 | KUTSCHBACH Willi | 70 |
| 26 | BOISSELLE Léopold | 65 |
| 27 | MOREELS François | 74 |
| 28 | NEUHARD Ernest | 67 |