Please improve statistics interpretation :)

Table #1: Descriptive Statistics

Variables	Mean	S.D.	Coding	Hypotheses
Income Inequality	38.7935	8.27034	Lower values mean more likely to have lower Income Inequality.	Positive correlation with Income Inequality.
Tax Burden	76.5085	11.95316	Lower values mean more likely to have Tax Burden	Positive correlation, as higher Tax Burden rate results less Income Inequality.
Government Spending	65.5286	21.40807	Higher values mean more likely to have more Government Spending.	Negative correlation, as higher value of Government Spending results more Income Inequality.
Education Spending	15.3781	4.99255	Lower values mean more likely to have Education Spending	Positive correlation, as higher Tax Burden rate results less Income Inequality.
Business Freedom	64.8899	14.50275	Higher values mean more likely to have lower Income Inequality.	Negative correlation, as higher value of Business Freedom results more Income Inequality.
Globalization Index	62.1458	14.26799	Higher values mean more likely to have lower Income Inequality.	Negative correlation, as higher value of Globalization Index results more Income Inequality.
Technology Index	3.9681	1.00507	Lower values mean more likely to have Technology Index.	Positive correlation, as higher Technology Index rate results less Income Inequality.

The sample size was N = 164. The minimum recommended sample size for 6 predictor variables is 50 + 6 * 8 = 98, so the sample size was adequate. It can be observed that tax burden had high standard deviation (SD), indicating high spread of data, while the SDs of other variables were moderate or low. The results of the Kolmogorov-Smirnov test indicated that normal distribution could not be assumed for globalization index, government spending, tax burden, and income inequality (p < 0.05).