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 + 9
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Debusschere
1
79 kgBeeckman
4
61 kgPé
5
68 kgMatton
6
73 kgDossche
7
75 kg
1
79 kgBeeckman
4
61 kgPé
5
68 kgMatton
6
73 kgDossche
7
75 kg
Weight (KG) →
Result →
79
61
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEBUSSCHERE Jean | 79 |
| 4 | BEECKMAN Théophile | 61 |
| 5 | PÉ Joseph | 68 |
| 6 | MATTON Jules | 73 |
| 7 | DOSSCHE Aimé | 75 |