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 = -0.6 * weight + 49
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Cooke
1
58 kgHouvenaghel
7
60 kgBrammeier
13
60 kgHair
17
63 kgWyman
26
56 kg
1
58 kgHouvenaghel
7
60 kgBrammeier
13
60 kgHair
17
63 kgWyman
26
56 kg
Weight (KG) →
Result →
63
56
1
26
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | COOKE Nicole | 58 |
| 7 | HOUVENAGHEL Wendy | 60 |
| 13 | BRAMMEIER Nikki | 60 |
| 17 | HAIR Katrina | 63 |
| 26 | WYMAN Helen | 56 |