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 = 0.7 * weight - 50
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Joly
1
74 kgSassone
4
75 kgVeneberg
5
75 kgHayles
8
80 kgCretskens
10
75 kg
1
74 kgSassone
4
75 kgVeneberg
5
75 kgHayles
8
80 kgCretskens
10
75 kg
Weight (KG) →
Result →
80
74
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JOLY Sébastien | 74 |
| 4 | SASSONE Robert | 75 |
| 5 | VENEBERG Thorwald | 75 |
| 8 | HAYLES Robert | 80 |
| 10 | CRETSKENS Wilfried | 75 |