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 + 24
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Whitten
1
67 kgSmall
2
55 kgArmstrong
5
58 kgThomas
7
58 kgJackson
8
63 kgDoebel-Hickok
9
51 kgPoidevin
10
56 kg
1
67 kgSmall
2
55 kgArmstrong
5
58 kgThomas
7
58 kgJackson
8
63 kgDoebel-Hickok
9
51 kgPoidevin
10
56 kg
Weight (KG) →
Result →
67
51
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WHITTEN Tara | 67 |
| 2 | SMALL Carmen | 55 |
| 5 | ARMSTRONG Kristin | 58 |
| 7 | THOMAS Leah | 58 |
| 8 | JACKSON Alison | 63 |
| 9 | DOEBEL-HICKOK Krista | 51 |
| 10 | POIDEVIN Sara | 56 |