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 + 4
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ANQUETIL Jacques | 70 |
| 3 | VAN LOOY Rik | 73 |
| 4 | BEHEYT Benoni | 71 |
| 5 | POST Peter | 79 |
| 6 | JANSSEN Jan | 76 |
| 9 | FORÉ Noël | 73 |
| 24 | VAN DAELE Leon | 78 |
| 28 | DAEMS Emile | 64 |
| 37 | HUGENS Jan | 83 |
| 61 | POULIDOR Raymond | 71 |
| 66 | NIJDAM Henk | 75 |