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 - 32
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Maertens
1
65 kgPriem
2
75 kgDemeyer
10
85 kgRosiers
11
78 kgSercu
12
76 kg
1
65 kgPriem
2
75 kgDemeyer
10
85 kgRosiers
11
78 kgSercu
12
76 kg
Weight (KG) →
Result →
85
65
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAERTENS Freddy | 65 |
| 2 | PRIEM Cees | 75 |
| 10 | DEMEYER Marc | 85 |
| 11 | ROSIERS Roger | 78 |
| 12 | SERCU Patrick | 76 |