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 = 0.5 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Chirico
2
58 kgRavanelli
6
66 kgRamirez
7
69 kgBalykin
8
68 kgKüçükbay
9
70 kgBazhkou
12
65 kg
2
58 kgRavanelli
6
66 kgRamirez
7
69 kgBalykin
8
68 kgKüçükbay
9
70 kgBazhkou
12
65 kg
Weight (KG) →
Result →
70
58
2
12
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CHIRICO Luca | 58 |
| 6 | RAVANELLI Simone | 66 |
| 7 | RAMIREZ Brayan Steven | 69 |
| 8 | BALYKIN Ivan | 68 |
| 9 | KÜÇÜKBAY Kemal | 70 |
| 12 | BAZHKOU Stanislau | 65 |