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 = -0.4 * weight + 58
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GODEFROOT Walter | 73 |
| 3 | MERCKX Eddy | 74 |
| 9 | FORÉ Noël | 73 |
| 19 | LELANGUE Robert | 72 |
| 20 | VAN LOOY Rik | 73 |
| 21 | BRACKE Ferdinand | 79 |
| 33 | KARSTENS Gerben | 74 |
| 35 | HUGENS Jan | 83 |
| 37 | ZOET Bart | 77 |
| 46 | BEHEYT Benoni | 71 |
| 54 | GRACZYK Jean | 70 |
| 56 | SCHLECK Johny | 72 |
| 78 | NIJDAM Henk | 75 |