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 = -0.2 * weight + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Verschueren
1
91 kgDewaele
2
69 kgVerdyck
3
78 kgOmey
5
70 kgJordens
6
72 kgBraeckeveldt
7
73 kgMarchand
10
74 kg
1
91 kgDewaele
2
69 kgVerdyck
3
78 kgOmey
5
70 kgJordens
6
72 kgBraeckeveldt
7
73 kgMarchand
10
74 kg
Weight (KG) →
Result →
91
69
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VERSCHUEREN Denis | 91 |
| 2 | DEWAELE Maurice | 69 |
| 3 | VERDYCK August | 78 |
| 5 | OMEY Cyriel | 70 |
| 6 | JORDENS Albert | 72 |
| 7 | BRAECKEVELDT Léon | 73 |
| 10 | MARCHAND Joseph | 74 |