Why Are My Regression Results Insignificant?

Reasons: 1) Small sample size relative to the variability in your data. 2) No relationship between dependent and independent variables. If your experiment is well designed with good replication, then this can be a useful outcome (publishable).

What does insignificant mean in regression?

How Do I Interpret the P-Values in Linear Regression Analysis? The p-value for each term tests the null hypothesis that the coefficient is equal to zero (no effect). ... Conversely, a larger (insignificant) p-value suggests that changes in the predictor are not associated with changes in the response.

What does it mean if the result is not significant?

This means that the results are considered to be „statistically non-significant‟ if the analysis shows that differences as large as (or larger than) the observed difference would be expected to occur by chance more than one out of twenty times (p > 0.05).