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 = 0.7 * weight - 28
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Rathe
2
74 kgTsubaki
3
62 kgTatarinov
19
67 kgYamamoto
20
62 kgFedi
39
70 kgBoswell
44
70 kg
2
74 kgTsubaki
3
62 kgTatarinov
19
67 kgYamamoto
20
62 kgFedi
39
70 kgBoswell
44
70 kg
Weight (KG) →
Result →
74
62
2
44
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | RATHE Jacob | 74 |
| 3 | TSUBAKI Hiroshi | 62 |
| 19 | TATARINOV Gennadiy | 67 |
| 20 | YAMAMOTO Genki | 62 |
| 39 | FEDI Andrea | 70 |
| 44 | BOSWELL Ian | 70 |