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 - 30
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Rivera
1
56 kgGrosu
3
68 kgAberasturi
5
69 kgBenfatto
7
71 kgBogdanovičs
10
68 kgCecchin
11
70 kgFreiberg
15
82 kg
1
56 kgGrosu
3
68 kgAberasturi
5
69 kgBenfatto
7
71 kgBogdanovičs
10
68 kgCecchin
11
70 kgFreiberg
15
82 kg
Weight (KG) →
Result →
82
56
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RIVERA Kevin | 56 |
| 3 | GROSU Eduard-Michael | 68 |
| 5 | ABERASTURI Jon | 69 |
| 7 | BENFATTO Marco | 71 |
| 10 | BOGDANOVIČS Māris | 68 |
| 11 | CECCHIN Alberto | 70 |
| 15 | FREIBERG Michael | 82 |