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 = 0.8 * weight - 21
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Abbott
2
52 kgWood
6
56 kgHobson
8
55 kgBeltman
12
68 kgThornburn
22
56 kgNumainville
48
65 kgSmall
61
55 kg
2
52 kgWood
6
56 kgHobson
8
55 kgBeltman
12
68 kgThornburn
22
56 kgNumainville
48
65 kgSmall
61
55 kg
Weight (KG) →
Result →
68
52
2
61
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ABBOTT Mara | 52 |
| 6 | WOOD Oenone | 56 |
| 8 | HOBSON Leigh | 55 |
| 12 | BELTMAN Chantal | 68 |
| 22 | THORNBURN Christine | 56 |
| 48 | NUMAINVILLE Joëlle | 65 |
| 61 | SMALL Carmen | 55 |