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 = -0.2 * weight + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Andreev
5
63 kgHristov
7
79 kgKolev
10
64 kgAngelov
11
59 kgPanchev
12
74 kgDyankov
13
65 kgGerganov
18
60 kg
5
63 kgHristov
7
79 kgKolev
10
64 kgAngelov
11
59 kgPanchev
12
74 kgDyankov
13
65 kgGerganov
18
60 kg
Weight (KG) →
Result →
79
59
5
18
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | ANDREEV Yordan | 63 |
| 7 | HRISTOV Svetozar | 79 |
| 10 | KOLEV Yoan | 64 |
| 11 | ANGELOV Lachezar | 59 |
| 12 | PANCHEV Georgi | 74 |
| 13 | DYANKOV Denis | 65 |
| 18 | GERGANOV Evgeni | 60 |