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 + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Jackson
1
75 kgStites
2
60 kgGranigan
3
76 kgWilliams
7
73 kgHenao
12
61 kg
1
75 kgStites
2
60 kgGranigan
3
76 kgWilliams
7
73 kgHenao
12
61 kg
Weight (KG) →
Result →
76
60
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JACKSON George | 75 |
| 2 | STITES Tyler | 60 |
| 3 | GRANIGAN Noah | 76 |
| 7 | WILLIAMS Tyler | 73 |
| 12 | HENAO Sergio | 61 |