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 = 0.1 * weight - 5
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Zabelinskaya
1
52 kgBoyarskaya
2
67 kgAntoshina
3
55 kgPankova
4
52 kgBurchenkova
5
67 kgMartisova
8
64 kg
1
52 kgBoyarskaya
2
67 kgAntoshina
3
55 kgPankova
4
52 kgBurchenkova
5
67 kgMartisova
8
64 kg
Weight (KG) →
Result →
67
52
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZABELINSKAYA Olga | 52 |
| 2 | BOYARSKAYA Natalia | 67 |
| 3 | ANTOSHINA Tatiana | 55 |
| 4 | PANKOVA Larisa | 52 |
| 5 | BURCHENKOVA Alexandra | 67 |
| 8 | MARTISOVA Julia | 64 |