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 = 0.6 * weight - 30
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Post
1
79 kgJanssen
6
76 kgImpanis
11
69 kgHugens
23
83 kgvan Kreuningen
24
82 kgNijdam
28
75 kg
1
79 kgJanssen
6
76 kgImpanis
11
69 kgHugens
23
83 kgvan Kreuningen
24
82 kgNijdam
28
75 kg
Weight (KG) →
Result →
83
69
1
28
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POST Peter | 79 |
| 6 | JANSSEN Jan | 76 |
| 11 | IMPANIS Raymond | 69 |
| 23 | HUGENS Jan | 83 |
| 24 | VAN KREUNINGEN Lex | 82 |
| 28 | NIJDAM Henk | 75 |