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 = 2.6 * weight - 158
This means that on average for every extra kilogram weight a rider loses 2.6 positions in the result.
Gruszczynski
1
60 kgKrzyśków
5
63 kgPera
6
68 kgBanaszak
9
64 kgWiśniewski
17
68 kgŁątkowski
39
68 kg
1
60 kgKrzyśków
5
63 kgPera
6
68 kgBanaszak
9
64 kgWiśniewski
17
68 kgŁątkowski
39
68 kg
Weight (KG) →
Result →
68
60
1
39
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GRUSZCZYNSKI Filip | 60 |
| 5 | KRZYŚKÓW Dominik | 63 |
| 6 | PERA Marceli | 68 |
| 9 | BANASZAK Maciej | 64 |
| 17 | WIŚNIEWSKI Szymon | 68 |
| 39 | ŁĄTKOWSKI Dawid | 68 |