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 = 0.9 * weight - 25
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | JANSSEN Jan | 76 |
| 5 | SAÉZ Ramón | 74 |
| 19 | BEHEYT Benoni | 71 |
| 31 | GLEMSER Peter | 82 |
| 40 | GEURTS Joseph | 73 |
| 41 | RÉAUX Raymond | 69 |
| 49 | DUEZ Henri | 64 |
| 61 | ZOET Bart | 77 |
| 62 | NIJDAM Henk | 75 |
| 64 | BRACKE Ferdinand | 79 |
| 65 | GODEFROOT Walter | 73 |
| 74 | HUGENS Jan | 83 |