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 = 0.6 * weight - 27
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Balkan
1
64 kgSayar
8
64 kgSamli
9
75 kgTigrine
15
61 kgKüçükbay
16
70 kgKal
25
72 kgBalkan
26
69 kgAkdilek
29
68 kg
1
64 kgSayar
8
64 kgSamli
9
75 kgTigrine
15
61 kgKüçükbay
16
70 kgKal
25
72 kgBalkan
26
69 kgAkdilek
29
68 kg
Weight (KG) →
Result →
75
61
1
29
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BALKAN Serkan | 64 |
| 8 | SAYAR Mustafa | 64 |
| 9 | SAMLI Feritcan | 75 |
| 15 | TIGRINE Mehdi | 61 |
| 16 | KÜÇÜKBAY Kemal | 70 |
| 25 | KAL Miraç | 72 |
| 26 | BALKAN Onur | 69 |
| 29 | AKDILEK Ahmet | 68 |