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 = 1 * weight - 51
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Gorelov
3
70 kgThalmann
7
75 kgThaler
10
60 kgWeibel
15
69 kgLikhachov
16
73 kgTak
33
80 kgTrott
44
72 kg
3
70 kgThalmann
7
75 kgThaler
10
60 kgWeibel
15
69 kgLikhachov
16
73 kgTak
33
80 kgTrott
44
72 kg
Weight (KG) →
Result →
80
60
3
44
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | GORELOV Nikolay | 70 |
| 7 | THALMANN Robert | 75 |
| 10 | THALER Klaus-Peter | 60 |
| 15 | WEIBEL Peter | 69 |
| 16 | LIKHACHOV Valery | 73 |
| 33 | TAK Ad | 80 |
| 44 | TROTT Wilfried | 72 |