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 = 1.8 * weight - 93
This means that on average for every extra kilogram weight a rider loses 1.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | BEHEYT Benoni | 71 |
| 11 | RÉAUX Raymond | 69 |
| 17 | GODEFROOT Walter | 73 |
| 37 | JANSSEN Jan | 76 |
| 46 | DUEZ Henri | 64 |
| 47 | ZOET Bart | 77 |
| 49 | GLEMSER Peter | 82 |
| 56 | NIJDAM Henk | 75 |
| 58 | GEURTS Joseph | 73 |
| 62 | SAÉZ Ramón | 74 |
| 69 | BRACKE Ferdinand | 79 |