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 + 19
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Dekker
1
69 kgde Maar
7
70 kgWeylandt
8
72 kgGoesinnen
11
75 kgScheuneman
18
75 kgPauwels
19
65 kgDe Poortere
20
70 kg
1
69 kgde Maar
7
70 kgWeylandt
8
72 kgGoesinnen
11
75 kgScheuneman
18
75 kgPauwels
19
65 kgDe Poortere
20
70 kg
Weight (KG) →
Result →
75
65
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEKKER Thomas | 69 |
| 7 | DE MAAR Marc | 70 |
| 8 | WEYLANDT Wouter | 72 |
| 11 | GOESINNEN Floris | 75 |
| 18 | SCHEUNEMAN Niels | 75 |
| 19 | PAUWELS Serge | 65 |
| 20 | DE POORTERE Ingmar | 70 |