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 - 14
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Honig
7
61 kgDe Groote
8
71 kgVandenbergh
10
86 kgDe Neef
11
75 kgWeylandt
19
72 kgNeirynck
36
78 kg
7
61 kgDe Groote
8
71 kgVandenbergh
10
86 kgDe Neef
11
75 kgWeylandt
19
72 kgNeirynck
36
78 kg
Weight (KG) →
Result →
86
61
7
36
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | HONIG Reinier | 61 |
| 8 | DE GROOTE Thierry | 71 |
| 10 | VANDENBERGH Stijn | 86 |
| 11 | DE NEEF Steven | 75 |
| 19 | WEYLANDT Wouter | 72 |
| 36 | NEIRYNCK Stijn | 78 |