generate into lay terms? Based on the information provided, let's break down the statistical analysis of your data: Pearson Correlation Coefficient r r: The Pearson correlation coefficient, denoted as r r, measures the strength and direction of the linear relationship between two variables. In your analysis, r = 0.98 r=0.98, which suggests a strong negative linear relationship. This means that as one variable increases, the other variable tends to decrease in a highly consistent manner. Critical Value and Significance: The critical value is the threshold that r r must exceed (in absolute terms) for the correlation to be deemed statistically significant. You have provided a critical value of 0.950 0.950. This suggests the cutoff beyond which the correlation is considered statistically significant. Since the calculated r = 0.98 r=0.98 is less than 0.950 0.950 (it's more negative), it indicates that the correlation is indeed statistically significant. Interpretation of Results: Given that the correlation coefficient is greater in absolute value than the critical value, you can confidently state that there is a statistically significant strong negative correlation between the variables. "Statistically significant" implies that the observed correlation is unlikely to be due to random chance, assuming