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 = 2.1 * weight - 112
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | BEHEYT Benoni | 71 |
| 17 | GODEFROOT Walter | 73 |
| 20 | JANSSEN Jan | 76 |
| 30 | RÉAUX Raymond | 69 |
| 38 | DUEZ Henri | 64 |
| 44 | GEURTS Joseph | 73 |
| 53 | SAÉZ Ramón | 74 |
| 56 | NIJDAM Henk | 75 |
| 64 | GLEMSER Peter | 82 |
| 65 | ZOET Bart | 77 |