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 = -0.5 * weight + 38
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Rezvani
1
68 kgFelipe
6
58 kgMohd Zariff
7
63 kgPhounsavath
11
67 kgGrospe
12
54 kgChaiyasombat
14
58 kg
1
68 kgFelipe
6
58 kgMohd Zariff
7
63 kgPhounsavath
11
67 kgGrospe
12
54 kgChaiyasombat
14
58 kg
Weight (KG) →
Result →
68
54
1
14
# | Rider | Weight (KG) |
---|---|---|
1 | REZVANI Morteza | 68 |
6 | FELIPE Marcelo | 58 |
7 | MOHD ZARIFF Muhammad Nur Aiman | 63 |
11 | PHOUNSAVATH Ariya | 67 |
12 | GROSPE Ismael Jr. | 54 |
14 | CHAIYASOMBAT Thanakhan | 58 |