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 = 0.1 * weight + 6
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Stosz
1
70 kgKoch
9
75 kgMamykin
10
62 kgKolář
13
90 kgFranczak
14
63 kgStöhr
18
72 kg
1
70 kgKoch
9
75 kgMamykin
10
62 kgKolář
13
90 kgFranczak
14
63 kgStöhr
18
72 kg
Weight (KG) →
Result →
90
62
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STOSZ Patryk | 70 |
| 9 | KOCH Jonas | 75 |
| 10 | MAMYKIN Matvey | 62 |
| 13 | KOLÁŘ Michael | 90 |
| 14 | FRANCZAK Paweł | 63 |
| 18 | STÖHR Ján | 72 |