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 = 1.2 * weight - 70
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Sayar
1
64 kgBalkan
4
64 kgTigrine
9
61 kgKal
16
72 kgBalkan
17
69 kgSamli
19
75 kgKüçükbay
21
70 kgAkdilek
24
68 kg
1
64 kgBalkan
4
64 kgTigrine
9
61 kgKal
16
72 kgBalkan
17
69 kgSamli
19
75 kgKüçükbay
21
70 kgAkdilek
24
68 kg
Weight (KG) →
Result →
75
61
1
24
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SAYAR Mustafa | 64 |
| 4 | BALKAN Serkan | 64 |
| 9 | TIGRINE Mehdi | 61 |
| 16 | KAL Miraç | 72 |
| 17 | BALKAN Onur | 69 |
| 19 | SAMLI Feritcan | 75 |
| 21 | KÜÇÜKBAY Kemal | 70 |
| 24 | AKDILEK Ahmet | 68 |