The dataset for this week ( https://www.kaggle.com/datasets/eliasturk/world-happiness-based-on-cpi-20152020) and using only the interval level or above variables, in JASP perform ONLY ONE variable selection process
1) Using the dataset for this week ( https://www.kaggle.com/datasets/eliasturk/world-happiness-based-on-cpi-20152020) and using only the interval level or above variables, in JASP perform ONLY ONE variable selection process. Report your FINAL 3 regression tables only
2) What was your method of choice? Why did you choose this method? Name one strength OR weakness (not both) for the technique.
3) What was your final regression equation?
Sample Solution
Unfortunately, browsing failed to return the data directly from the webpage because it likely requires running code or statistical analysis that is beyond the capabilities of a browsing extension.
However, I have some info from the web that might be helpful:
For variable selection in JASP, there are several methods you can choose from, including:
- Backward elimination: This method starts with the full model and removes the least significant predictor one at a time until a stopping criterion is met.
- Forward selection: This method starts with an empty model and adds the most significant predictor one at a time until a stopping criterion is met.
- Stepwise selection: This method combines forward selection and backward elimination. It starts with an empty model and adds or removes predictors based on their significance.
Full Answer Section
The best method to choose depends on your data and research question. Here's a quick comparison:
- Backward elimination: Strength: Easy to interpret, Weakness: Can be biased towards keeping too many variables in the model.
- Forward selection: Strength: Less likely to keep irrelevant variables, Weakness: Can miss important variables that are not highly correlated with the other predictors already in the model.
- Stepwise selection: Strength: More flexible than backward elimination or forward selection, Weakness: Can be computationally expensive and may not converge on a stable model.
Let me know if you have other questions about variable selection methods or JASP!