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 = 0.2 * weight - 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Hall
1
52 kgEdwards
2
59 kgStephens
3
55 kgBergen
4
64 kgDoebel-Hickok
7
51 kgThomas
8
58 kgGoldman
9
64 kg
1
52 kgEdwards
2
59 kgStephens
3
55 kgBergen
4
64 kgDoebel-Hickok
7
51 kgThomas
8
58 kgGoldman
9
64 kg
Weight (KG) →
Result →
64
51
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HALL Katie | 52 |
| 2 | EDWARDS Ruth | 59 |
| 3 | STEPHENS Lauren | 55 |
| 4 | BERGEN Sara | 64 |
| 7 | DOEBEL-HICKOK Krista | 51 |
| 8 | THOMAS Leah | 58 |
| 9 | GOLDMAN Lindsay | 64 |