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 = 0.1 * weight + 10
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Prim
5
76 kgArgentin
7
66 kgGavazzi
8
67 kgChiappucci
15
67 kgPagnin
17
74 kgZoetemelk
20
68 kgBauer
22
72 kg
5
76 kgArgentin
7
66 kgGavazzi
8
67 kgChiappucci
15
67 kgPagnin
17
74 kgZoetemelk
20
68 kgBauer
22
72 kg
Weight (KG) →
Result →
76
66
5
22
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | PRIM Tommy | 76 |
| 7 | ARGENTIN Moreno | 66 |
| 8 | GAVAZZI Pierino | 67 |
| 15 | CHIAPPUCCI Claudio | 67 |
| 17 | PAGNIN Roberto | 74 |
| 20 | ZOETEMELK Joop | 68 |
| 22 | BAUER Steve | 72 |