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 = -0.5 * weight + 43
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Papok
1
76 kgJaniaczyk
2
68 kgStępniak
4
75 kgKoch
6
75 kgVasilyev
7
70 kgZieliński
8
61 kgOwsian
10
66 kgKohut
15
65 kg
1
76 kgJaniaczyk
2
68 kgStępniak
4
75 kgKoch
6
75 kgVasilyev
7
70 kgZieliński
8
61 kgOwsian
10
66 kgKohut
15
65 kg
Weight (KG) →
Result →
76
61
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PAPOK Siarhei | 76 |
| 2 | JANIACZYK Błażej | 68 |
| 4 | STĘPNIAK Grzegorz | 75 |
| 6 | KOCH Jonas | 75 |
| 7 | VASILYEV Maksym | 70 |
| 8 | ZIELIńSKI Kamil | 61 |
| 10 | OWSIAN Łukasz | 66 |
| 15 | KOHUT Sławomir | 65 |