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 * weight + 9
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Sapa
5
82 kgRoels
6
75 kgKluge
7
83 kgReimer
9
69 kgPawlak
14
73 kgBroniš
17
74 kgLisowicz
19
85 kg
5
82 kgRoels
6
75 kgKluge
7
83 kgReimer
9
69 kgPawlak
14
73 kgBroniš
17
74 kgLisowicz
19
85 kg
Weight (KG) →
Result →
85
69
5
19
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | SAPA Marcin | 82 |
| 6 | ROELS Dominik | 75 |
| 7 | KLUGE Roger | 83 |
| 9 | REIMER Martin | 69 |
| 14 | PAWLAK Wojciech | 73 |
| 17 | BRONIŠ Roman | 74 |
| 19 | LISOWICZ Tomasz | 85 |