Table of Contents
3 sectionsExplain the purpose of the model
Before presenting coefficients and p-values, clarify why regression was used and what question the model was meant to answer. This gives your reader a frame for understanding the rest of the results.
Report assumptions and model fit
Strong regression reporting includes more than coefficients. You should show that assumptions were checked and explain model fit using the most relevant indicators for your analysis.
Interpret coefficients in plain academic language
Regression output becomes much clearer when coefficients are translated into plain sentences. That means showing direction, size, significance, and relevance to the hypothesis rather than repeating software output line by line.
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