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 = 0.3 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Antoshina
1
55 kgMartisova
2
64 kgPankova
3
52 kgZabelinskaya
5
52 kgBurchenkova
12
67 kg
1
55 kgMartisova
2
64 kgPankova
3
52 kgZabelinskaya
5
52 kgBurchenkova
12
67 kg
Weight (KG) →
Result →
67
52
1
12
# | Rider | Weight (KG) |
---|---|---|
1 | ANTOSHINA Tatiana | 55 |
2 | MARTISOVA Julia | 64 |
3 | PANKOVA Larisa | 52 |
5 | ZABELINSKAYA Olga | 52 |
12 | BURCHENKOVA Alexandra | 67 |