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 = 0.1 * weight - 5
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Vervaecke
1
68 kgDignef
2
70 kgAmberg
4
72 kgMaes
5
70 kgLesueur
6
74 kgKraus
7
61 kgFontenay
8
67 kgDeloor
10
79 kg
1
68 kgDignef
2
70 kgAmberg
4
72 kgMaes
5
70 kgLesueur
6
74 kgKraus
7
61 kgFontenay
8
67 kgDeloor
10
79 kg
Weight (KG) →
Result →
79
61
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VERVAECKE Félicien | 68 |
| 2 | DIGNEF Antoon | 70 |
| 4 | AMBERG Leo | 72 |
| 5 | MAES Sylvère | 70 |
| 6 | LESUEUR Raoul | 74 |
| 7 | KRAUS Maurice | 61 |
| 8 | FONTENAY Jean | 67 |
| 10 | DELOOR Gustaaf | 79 |