Iran a correlation and Regression analysis between dependent variable diabetes a

Question

Iran a correlation and Regression analysis between dependent variable diabetes and independent variable poverty. Based on the below results: 1) Is there a statistical s relationship between the two (use T stat on P values) ignificant Can you briefly explain it to me. 2) Interpret bl slope coefficient) what does that tell me about the relationship between diabetes and poverty. Significance 0.05 x varble column: 4 Poverty Rate Y varble column: 1 Diabetes Sample size, n Degrees of freedom 48 Correlation Resuts: Correlation coeff, r 0.7334682 Critical r: 10.2787103 Reject the Null Hypothesis Sample provides evidence to support linear correlation Regression Results: Y Intercept, bo 4.300769 Slope, b1 0.3065072 Total Variation: 93.2232 Explained Variation: 50.15181 Unexplained Variation: 43.07139 Standard Error: 0.9472701 Coeff of Det, R 0.5379757

Explanation / Answer

Question-1

We observe that the calculated correlation coefficient is r=0.7334682 which is greater than the critical r =0.2787103, so we conclude that there is a statistical significant relationship between the two variables

Question-2

Slope is 0.3065072 which means that corresponding to 1% increase in poverty rate there is on an average 0.3065072% increase in diabetes rate

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