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 = 0.4 * weight - 9
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Novikov
9
77 kgFirsanov
15
58 kgReinhardt
17
72 kgKuznetsov
26
70 kgPorsev
30
80 kgBoev
42
74 kg
9
77 kgFirsanov
15
58 kgReinhardt
17
72 kgKuznetsov
26
70 kgPorsev
30
80 kgBoev
42
74 kg
Weight (KG) →
Result →
80
58
9
42
| # | Rider | Weight (KG) |
|---|---|---|
| 9 | NOVIKOV Nikita | 77 |
| 15 | FIRSANOV Sergey | 58 |
| 17 | REINHARDT Theo | 72 |
| 26 | KUZNETSOV Viacheslav | 70 |
| 30 | PORSEV Alexander | 80 |
| 42 | BOEV Igor | 74 |