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 - 6
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Baker
3
66 kgBalsamo
4
55 kgDronova-Balabolina
6
63 kgSklyarova
11
57 kgNorsgaard
13
65 kgSchweinberger
22
63 kg
3
66 kgBalsamo
4
55 kgDronova-Balabolina
6
63 kgSklyarova
11
57 kgNorsgaard
13
65 kgSchweinberger
22
63 kg
Weight (KG) →
Result →
66
55
3
22
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BAKER Georgia | 66 |
| 4 | BALSAMO Elisa | 55 |
| 6 | DRONOVA-BALABOLINA Tamara | 63 |
| 11 | SKLYAROVA Yelizaveta | 57 |
| 13 | NORSGAARD Emma | 65 |
| 22 | SCHWEINBERGER Kathrin | 63 |