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Regression Analysis Summary Output by mjfprgc is a document available to read on EtoBox.

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The regression model has a multiple R of 0.98268, R square of 0.96567, and adjusted R square of 0.95709, indicating a very strong correlation. The ANOVA results show that the population variable is highly significant in predicting the dependent variable with a P-value of 0.000447. The coefficients table shows that for every 1 unit increase in population, the dependent variable increases by 1.258 units, with a lower and upper 95% confidence interval of 0.929 and 1.588 respectively.

Author
mjfprgc
Language
EN