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 + 3
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Tatarinov
10
67 kgRathe
11
74 kgTsubaki
14
62 kgYamamoto
26
62 kgBoswell
35
70 kgFedi
40
70 kg
10
67 kgRathe
11
74 kgTsubaki
14
62 kgYamamoto
26
62 kgBoswell
35
70 kgFedi
40
70 kg
Weight (KG) →
Result →
74
62
10
40
| # | Rider | Weight (KG) |
|---|---|---|
| 10 | TATARINOV Gennadiy | 67 |
| 11 | RATHE Jacob | 74 |
| 14 | TSUBAKI Hiroshi | 62 |
| 26 | YAMAMOTO Genki | 62 |
| 35 | BOSWELL Ian | 70 |
| 40 | FEDI Andrea | 70 |