How can we ensure the accuracy of regression based on true story?
To ensure accuracy in regression based on true story, you need to be meticulous in data cleaning. Remove any outliers that might distort the results. Also, use appropriate statistical tests to check the significance of the relationships between variables in the story. And constantly review and update the regression model as new information from the true story emerges.
First, verify the data sources of the true story thoroughly. Make sure they are reliable. Second, cross - check the data with other related sources if possible. For example, if it's a story about a local event, check with local archives or eyewitnesses.
Well, we can ensure the accuracy by starting with a comprehensive understanding of the true story. This means not just looking at the numbers but also the qualitative aspects. Then, when selecting variables for the regression, choose only those that are truly relevant to the story's essence. Additionally, use resampling techniques to test the stability of the regression model based on the true story.
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