How do I interpret the results of my Python statistics analysis?
An example of an AI chatbot conversation about interpreting statistics in Python.
How do I interpret the results of my Python statistics analysis?
To interpret your results, start by looking at the p-values and confidence intervals. What specific analysis did you perform?
I ran a linear regression and got a p-value of 0.03.
A p-value of 0.03 suggests that there is a statistically significant relationship. It means you can reject the null hypothesis.
What does that mean for my model?
It indicates that your independent variable has a meaningful impact on the dependent variable. You should also check the R-squared value for model fit.
My R-squared is 0.85. Is that good?
Yes, an R-squared of 0.85 means that 85% of the variance in your dependent variable is explained by your model, which is quite strong.
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