How do you interpret coefficient results?

The coefficient of a term in a statistical model quantifies the effect of a one-unit change in that term on the mean response. This measure provides crucial insights into the relationship between variables.

When the coefficient associated with a term is negative, it indicates that as the value of that term increases, the average response tends to decrease. This relationship implies an inverse or negative correlation between the term and the response.

Conversely, a positive coefficient signifies that an increase in the term's value leads to an increase in the mean response. This positive association indicates a direct or positive correlation between the term and the response.

Understanding the direction and magnitude of these coefficients is essential for interpreting the results of statistical analyses. They allow researchers and analysts to draw meaningful conclusions about the impact of various factors on the outcome of interest.

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