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 = -0.3 * weight + 28
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Swerts
1
75 kgBracke
3
79 kgPijnen
5
72 kgDemeyer
8
85 kgMaertens
11
65 kgPollentier
12
62 kg
1
75 kgBracke
3
79 kgPijnen
5
72 kgDemeyer
8
85 kgMaertens
11
65 kgPollentier
12
62 kg
Weight (KG) →
Result →
85
62
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SWERTS Roger | 75 |
| 3 | BRACKE Ferdinand | 79 |
| 5 | PIJNEN René | 72 |
| 8 | DEMEYER Marc | 85 |
| 11 | MAERTENS Freddy | 65 |
| 12 | POLLENTIER Michel | 62 |