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 = -0.3 * weight + 23
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Aerts
1
70 kgBresciani
5
74 kgMauclair
6
67 kgTrueba
8
58 kgCardona
10
68 kg
1
70 kgBresciani
5
74 kgMauclair
6
67 kgTrueba
8
58 kgCardona
10
68 kg
Weight (KG) →
Result →
74
58
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AERTS Jean | 70 |
| 5 | BRESCIANI Arturo | 74 |
| 6 | MAUCLAIR Joseph | 67 |
| 8 | TRUEBA Vicente | 58 |
| 10 | CARDONA Salvador | 68 |