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 = -1.5 * weight + 97
This means that on average for every extra kilogram weight a rider loses -1.5 positions in the result.
Williams
2
60 kgDrummond
7
61 kgStannard
10
55 kgHarris
12
57 kgAnderson
15
54 kgRay
18
53 kg
2
60 kgDrummond
7
61 kgStannard
10
55 kgHarris
12
57 kgAnderson
15
54 kgRay
18
53 kg
Weight (KG) →
Result →
61
53
2
18
# | Rider | Weight (KG) |
---|---|---|
2 | WILLIAMS Georgia | 60 |
7 | DRUMMOND Michaela | 61 |
10 | STANNARD Elizabeth | 55 |
12 | HARRIS Ella | 57 |
15 | ANDERSON Grace | 54 |
18 | RAY Olivia | 53 |