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 = -0.4 * weight + 47
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Teteriouk
1
72 kgGotti
19
65 kgBaldato
20
60 kgTafi
24
73 kgTonkov
27
70 kgGavazzi
29
67 kg
1
72 kgGotti
19
65 kgBaldato
20
60 kgTafi
24
73 kgTonkov
27
70 kgGavazzi
29
67 kg
Weight (KG) →
Result →
73
60
1
29
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TETERIOUK Andrei | 72 |
| 19 | GOTTI Ivan | 65 |
| 20 | BALDATO Fabio | 60 |
| 24 | TAFI Andrea | 73 |
| 27 | TONKOV Pavel | 70 |
| 29 | GAVAZZI Pierino | 67 |