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 = 3.7 * weight - 235
This means that on average for every extra kilogram weight a rider loses 3.7 positions in the result.
Daems
16
64 kgSimpson
18
69 kgLelangue
20
72 kgBeheyt
26
71 kgVan Daele
59
78 kgvan Kreuningen
77
82 kg
16
64 kgSimpson
18
69 kgLelangue
20
72 kgBeheyt
26
71 kgVan Daele
59
78 kgvan Kreuningen
77
82 kg
Weight (KG) →
Result →
82
64
16
77
| # | Rider | Weight (KG) |
|---|---|---|
| 16 | DAEMS Emile | 64 |
| 18 | SIMPSON Tom | 69 |
| 20 | LELANGUE Robert | 72 |
| 26 | BEHEYT Benoni | 71 |
| 59 | VAN DAELE Leon | 78 |
| 77 | VAN KREUNINGEN Lex | 82 |