Can you explain this: X Values = 9657 Mean = 42.92 (X - Mx)2 = SSx = 28848.56 Y Values = 39226218 Mean = 174338.747 (Y - My)2 = SSy = 2037705426438.56 X and Y Combined N = 225 (X - Mx)(Y - My) = 125599911.44 R Calculation r = ((X - My)(Y - Mx)) / ((SSx)(SSy)) r = 125599911.44 / ((28848.56)(2037705426438.56)) Correlation coefficient; r = 0.518 Significance level = 0.05 Since sample size is more than 100, so critical value of correlation coefficient is 0.196. Test-statistic for correlation coefficient = r * Sqrt((n - 2) / (1 - r2)) = 0.518 * Sqrt((225 - 2) / (1 - 0.2683)) = 9.4036 p-value < 0.00001 Since p-value < significance level ( = 0.05), which means it is significant and we reject the null hypothesis. There is sufficient statistical evidence to conclude at 5% significance level that there is a linear correlation between age and salary