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 = -0.7 * weight + 68
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Sapa
4
82 kgRoels
5
75 kgLisowicz
6
85 kgKluge
8
83 kgPawlak
12
73 kgBroniš
17
74 kgKiendyś
18
78 kgReimer
19
69 kg
4
82 kgRoels
5
75 kgLisowicz
6
85 kgKluge
8
83 kgPawlak
12
73 kgBroniš
17
74 kgKiendyś
18
78 kgReimer
19
69 kg
Weight (KG) →
Result →
85
69
4
19
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | SAPA Marcin | 82 |
| 5 | ROELS Dominik | 75 |
| 6 | LISOWICZ Tomasz | 85 |
| 8 | KLUGE Roger | 83 |
| 12 | PAWLAK Wojciech | 73 |
| 17 | BRONIŠ Roman | 74 |
| 18 | KIENDYŚ Tomasz | 78 |
| 19 | REIMER Martin | 69 |