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 = -1.9 * weight + 119
This means that on average for every extra kilogram weight a rider loses -1.9 positions in the result.
Drummond
3
61 kgWilliams
7
60 kgMcMullen
10
61 kgHarris
13
57 kgAnderson
15
54 kgJohnson
23
55 kg
3
61 kgWilliams
7
60 kgMcMullen
10
61 kgHarris
13
57 kgAnderson
15
54 kgJohnson
23
55 kg
Weight (KG) →
Result →
61
54
3
23
# | Rider | Weight (KG) |
---|---|---|
3 | DRUMMOND Michaela | 61 |
7 | WILLIAMS Georgia | 60 |
10 | MCMULLEN Rylee | 61 |
13 | HARRIS Ella | 57 |
15 | ANDERSON Grace | 54 |
23 | JOHNSON Ione | 55 |