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 - 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Maertens
1
65 kgPriem
3
75 kgRaas
5
72 kgSwerts
7
75 kgKnudsen
8
79 kgDemeyer
9
85 kgPollentier
10
62 kg
1
65 kgPriem
3
75 kgRaas
5
72 kgSwerts
7
75 kgKnudsen
8
79 kgDemeyer
9
85 kgPollentier
10
62 kg
Weight (KG) →
Result →
85
62
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAERTENS Freddy | 65 |
| 3 | PRIEM Cees | 75 |
| 5 | RAAS Jan | 72 |
| 7 | SWERTS Roger | 75 |
| 8 | KNUDSEN Knut | 79 |
| 9 | DEMEYER Marc | 85 |
| 10 | POLLENTIER Michel | 62 |