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 - 5
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Janssen
1
76 kgZoet
12
77 kgPieterse
20
70 kgGraczyk
34
70 kgSchutz
38
72 kgHugens
45
83 kg
1
76 kgZoet
12
77 kgPieterse
20
70 kgGraczyk
34
70 kgSchutz
38
72 kgHugens
45
83 kg
Weight (KG) →
Result →
83
70
1
45
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JANSSEN Jan | 76 |
| 12 | ZOET Bart | 77 |
| 20 | PIETERSE Jan | 70 |
| 34 | GRACZYK Jean | 70 |
| 38 | SCHUTZ Edy | 72 |
| 45 | HUGENS Jan | 83 |