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 = 24.9 * weight - 1310
This means that on average for every extra kilogram weight a rider loses 24.9 positions in the result.
Baker
1
66 kgDronova-Balabolina
3
63 kgSklyarova
8
57 kgBalsamo
9
55 kgSchweinberger
991
63 kg
1
66 kgDronova-Balabolina
3
63 kgSklyarova
8
57 kgBalsamo
9
55 kgSchweinberger
991
63 kg
Weight (KG) →
Result →
66
55
1
991
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAKER Georgia | 66 |
| 3 | DRONOVA-BALABOLINA Tamara | 63 |
| 8 | SKLYAROVA Yelizaveta | 57 |
| 9 | BALSAMO Elisa | 55 |
| 991 | SCHWEINBERGER Kathrin | 63 |