Analysis and discuss the findings from multiple
regression methods that shows below:
SUMMARY OUTPUT Regression Statistics Multiple R R Square Ad usted R Square Standard Error Observations 0.982656915 0.965614613 0.958737536 723.2563408 13 ANOVA df Significance F 140.4106072 4.8069 SE-08 Regression Residual Total SS MS 146897502.7 73448751.36 5230997.345 523099.7345 152128500.1 2 10 12 Intercept Statistics of Monthly Wages in Malaysia Statistics Number of Job Vacancies in Malaysia Coefficients Standard Error Stat -10771.66998 1859.175458 -5.793788817 6.516261197 0.68 8502286 9.46440023 0.009589748 0.011357544 0.844350541 P-value Lower 9596 Upper 95% Lower 95.0% Upper 95.0% 0.0001 74427 -14914. 17105 -6629.168907 -14914.17105 -6629.168907 2.6264 SE-06 4.982182503 8.050339891 4.982182503 8.050339891 0.418215115 -0.015716437 0.034895933 -0.015716437 0.034895933 Table 1: Multiple Regression in 2018
Analysis and discuss the findings from multiple regression methods that shows below:
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