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 = -1.4 * weight + 118
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
Hayles
4
80 kgCordes
9
70 kgVeneberg
20
75 kgde Groot
27
65 kgTanner
32
70 kg
4
80 kgCordes
9
70 kgVeneberg
20
75 kgde Groot
27
65 kgTanner
32
70 kg
Weight (KG) →
Result →
80
65
4
32
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | HAYLES Robert | 80 |
| 9 | CORDES Tom | 70 |
| 20 | VENEBERG Thorwald | 75 |
| 27 | DE GROOT Bram | 65 |
| 32 | TANNER John | 70 |