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 = 49.7 * weight - 3457
This means that on average for every extra kilogram weight a rider loses 49.7 positions in the result.
Hartnick
1
76 kgLikhachov
3
73 kgMytnik
4
75 kgMenéndez
5
70 kgBobekov
8
69 kgSzozda
10
68 kgPikkuus
990
76 kg
1
76 kgLikhachov
3
73 kgMytnik
4
75 kgMenéndez
5
70 kgBobekov
8
69 kgSzozda
10
68 kgPikkuus
990
76 kg
Weight (KG) →
Result →
76
68
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HARTNICK Hans-Joachim | 76 |
| 3 | LIKHACHOV Valery | 73 |
| 4 | MYTNIK Tadeusz | 75 |
| 5 | MENÉNDEZ Roberto | 70 |
| 8 | BOBEKOV Stoyan | 69 |
| 10 | SZOZDA Stanisław | 68 |
| 990 | PIKKUUS Aavo | 76 |