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 = 0.5 * weight - 28
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Gavazzi
5
67 kgElliott
6
76 kgStephens
11
65 kgPeeters
15
76 kgKelly
20
77 kg
5
67 kgElliott
6
76 kgStephens
11
65 kgPeeters
15
76 kgKelly
20
77 kg
Weight (KG) →
Result →
77
65
5
20
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | GAVAZZI Pierino | 67 |
| 6 | ELLIOTT Malcolm | 76 |
| 11 | STEPHENS Neil | 65 |
| 15 | PEETERS Wilfried | 76 |
| 20 | KELLY Sean | 77 |