2. Interpret each coefficient estimate and discuss its significance using a=0.01, a=0.05 and a=0.10. Use the concepts of strict and weak significance too.
3. Make a reliable prediction based off this prediction equation.
SUMMARY OUTPUT Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Statistics Regression Residual Total Intercept GDP per cap Total Cases per million KOFGI own vaccine Election 0.69695424 0.48574521 0.43327023 21.2234507 df 55 SS MS F Significance F 5 20847.7052 4169.54104 9.25670149 2.9696E-06 49 22071.3081 450.43486 54 42919.0133 Coefficients standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% 3.03114018 18.7759644 0.16143726 0.87241284 -34.700573 40.7628532 -34.700573 40.7628532 0.00051168 0.00014364 3.56230109 0.00083022 0.00022303 0.00080033 0.00022303 0.00080033 0.00016705 0.00016545 1.00971165 0.31759367 -0.0001654 0.00049953 -0.0001654 0.00049953 0.07770027 0.32251644 0.24091878 0.81062331 -0.5704208 0.72582132 -0.5704208 0.72582132 25.185731 11.5030636 2.18948028 0.03335404 2.06945914 48.3020028 2.06945914 48.3020028 -1.8530929 7.64375082 -0.2424324 0.80945701 -17.213785 13.5075995 -17.213785 13.5075995
2. Interpret each coefficient estimate and discuss its significance using a=0.01, a=0.05 and a=0.10. Use the concepts of
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