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 = 0.4 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Reguigui
1
69 kgJulius
2
59 kgAsadov
3
77 kgLagab
9
63 kgMansouri
12
66 kgÖzgür
22
75 kg
1
69 kgJulius
2
59 kgAsadov
3
77 kgLagab
9
63 kgMansouri
12
66 kgÖzgür
22
75 kg
Weight (KG) →
Result →
77
59
1
22
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | REGUIGUI Youcef | 69 |
| 2 | JULIUS Jayde | 59 |
| 3 | ASADOV Elchin | 77 |
| 9 | LAGAB Azzedine | 63 |
| 12 | MANSOURI Abderrahmane | 66 |
| 22 | ÖZGÜR Batuhan | 75 |