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 + 11
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Kolář
3
90 kgNikolaev
4
66 kgKal
5
72 kgStević
6
66 kgTybor
7
72 kgReinhardt
11
72 kgMihaylov
13
70 kgAckermann
16
78 kg
3
90 kgNikolaev
4
66 kgKal
5
72 kgStević
6
66 kgTybor
7
72 kgReinhardt
11
72 kgMihaylov
13
70 kgAckermann
16
78 kg
Weight (KG) →
Result →
90
66
3
16
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | KOLÁŘ Michael | 90 |
| 4 | NIKOLAEV Sergey | 66 |
| 5 | KAL Miraç | 72 |
| 6 | STEVIĆ Ivan | 66 |
| 7 | TYBOR Patrik | 72 |
| 11 | REINHARDT Theo | 72 |
| 13 | MIHAYLOV Nikolay | 70 |
| 16 | ACKERMANN Pascal | 78 |