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 = -3.9 * weight + 308
This means that on average for every extra kilogram weight a rider loses -3.9 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
8 | BRACKE Ferdinand | 79 |
14 | SWERTS Roger | 75 |
15 | DIERICKX André | 74 |
16 | DE VLAEMINCK Roger | 74 |
18 | STEEVENS Harry | 73 |
19 | GODEFROOT Walter | 73 |
21 | VAN LOOY Rik | 73 |
24 | DOLMAN Evert | 71 |
36 | SCHLECK Johny | 72 |
49 | PFENNINGER Louis | 70 |