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 - 10
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Nevens
3
58 kgKuiper
8
69 kgSergeant
10
76 kgSkibby
18
70 kgRominger
20
65 kg
3
58 kgKuiper
8
69 kgSergeant
10
76 kgSkibby
18
70 kgRominger
20
65 kg
Weight (KG) →
Result →
76
58
3
20
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | NEVENS Jan | 58 |
| 8 | KUIPER Hennie | 69 |
| 10 | SERGEANT Marc | 76 |
| 18 | SKIBBY Jesper | 70 |
| 20 | ROMINGER Tony | 65 |