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 - 24
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Kopp
1
68 kgKannemeyer
3
67 kgGeorge
4
61 kgChmielewski
5
72 kgPoitschke
8
73 kgGlasner
10
72 kg
1
68 kgKannemeyer
3
67 kgGeorge
4
61 kgChmielewski
5
72 kgPoitschke
8
73 kgGlasner
10
72 kg
Weight (KG) →
Result →
73
61
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOPP David | 68 |
| 3 | KANNEMEYER Tiaan | 67 |
| 4 | GEORGE David | 61 |
| 5 | CHMIELEWSKI Piotr | 72 |
| 8 | POITSCHKE Enrico | 73 |
| 10 | GLASNER Björn | 72 |