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 = 0.6 * weight - 29
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Antoshina
1
55 kgBurchenkova
3
67 kgKhatuntseva
5
54 kgBoyarskaya
9
67 kgDronova-Balabolina
15
63 kgMartisova
29
64 kg
1
55 kgBurchenkova
3
67 kgKhatuntseva
5
54 kgBoyarskaya
9
67 kgDronova-Balabolina
15
63 kgMartisova
29
64 kg
Weight (KG) →
Result →
67
54
1
29
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ANTOSHINA Tatiana | 55 |
| 3 | BURCHENKOVA Alexandra | 67 |
| 5 | KHATUNTSEVA Gulnaz | 54 |
| 9 | BOYARSKAYA Natalia | 67 |
| 15 | DRONOVA-BALABOLINA Tamara | 63 |
| 29 | MARTISOVA Julia | 64 |