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 = -0.3 * weight + 33
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Sapa
3
82 kgRoels
4
75 kgLisowicz
7
85 kgPawlak
8
73 kgKluge
10
83 kgBroniš
11
74 kgKiendyś
12
78 kgReimer
14
69 kg
3
82 kgRoels
4
75 kgLisowicz
7
85 kgPawlak
8
73 kgKluge
10
83 kgBroniš
11
74 kgKiendyś
12
78 kgReimer
14
69 kg
Weight (KG) →
Result →
85
69
3
14
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | SAPA Marcin | 82 |
| 4 | ROELS Dominik | 75 |
| 7 | LISOWICZ Tomasz | 85 |
| 8 | PAWLAK Wojciech | 73 |
| 10 | KLUGE Roger | 83 |
| 11 | BRONIŠ Roman | 74 |
| 12 | KIENDYŚ Tomasz | 78 |
| 14 | REIMER Martin | 69 |