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 = 2.5 * weight - 148
This means that on average for every extra kilogram weight a rider loses 2.5 positions in the result.
de Groot
10
65 kgVeneberg
15
75 kgTanner
19
70 kgCordes
41
70 kgHayles
58
80 kg
10
65 kgVeneberg
15
75 kgTanner
19
70 kgCordes
41
70 kgHayles
58
80 kg
Weight (KG) →
Result →
80
65
10
58
| # | Rider | Weight (KG) |
|---|---|---|
| 10 | DE GROOT Bram | 65 |
| 15 | VENEBERG Thorwald | 75 |
| 19 | TANNER John | 70 |
| 41 | CORDES Tom | 70 |
| 58 | HAYLES Robert | 80 |