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 = -0.5 * weight + 45
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
De Vlaeminck
2
74 kgVan Looy
4
75 kgDemeyer
7
85 kgDierickx
12
74 kgMaertens
14
65 kgPollentier
19
62 kgPriem
25
75 kg
2
74 kgVan Looy
4
75 kgDemeyer
7
85 kgDierickx
12
74 kgMaertens
14
65 kgPollentier
19
62 kgPriem
25
75 kg
Weight (KG) →
Result →
85
62
2
25
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DE VLAEMINCK Roger | 74 |
| 4 | VAN LOOY Frans | 75 |
| 7 | DEMEYER Marc | 85 |
| 12 | DIERICKX André | 74 |
| 14 | MAERTENS Freddy | 65 |
| 19 | POLLENTIER Michel | 62 |
| 25 | PRIEM Cees | 75 |