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 = 0.5 * weight - 21
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Peeters
1
76 kgBaguet
6
67 kgde Rooij
15
69 kgVerstrepen
16
66 kgDe Wolf
19
75 kgHarmeling
23
76 kgLeysen
26
75 kg
1
76 kgBaguet
6
67 kgde Rooij
15
69 kgVerstrepen
16
66 kgDe Wolf
19
75 kgHarmeling
23
76 kgLeysen
26
75 kg
Weight (KG) →
Result →
76
66
1
26
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PEETERS Wilfried | 76 |
| 6 | BAGUET Serge | 67 |
| 15 | DE ROOIJ Theo | 69 |
| 16 | VERSTREPEN Johan | 66 |
| 19 | DE WOLF Fons | 75 |
| 23 | HARMELING Rob | 76 |
| 26 | LEYSEN Bart | 75 |