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 = 0.2 * weight + 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Shmidt
1
76 kgStites
9
60 kgFelton
10
63 kgSmith
16
77 kgFriedman
20
74 kg
1
76 kgStites
9
60 kgFelton
10
63 kgSmith
16
77 kgFriedman
20
74 kg
Weight (KG) →
Result →
77
60
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SHMIDT Artem | 76 |
| 9 | STITES Tyler | 60 |
| 10 | FELTON Quinn | 63 |
| 16 | SMITH Caleb | 77 |
| 20 | FRIEDMAN Joshua | 74 |