Summary of OLS Results - Model Variables Coefficient [a StdError t-Statistic Pro

Question

Summary of OLS Results - Model Variables Coefficient [a StdError t-Statistic Probability [bl Robust SE Robust t Robust Pr [b)] VIF [c) Variable Intercept POPCHILD OWNDWELLIN LONEPARENT ABORIGINAL PERSONS65L RECENTIMMI NOCERTIF 1 3.818026 0.000309 5979886 4.233864 0.000077 6.631182 25.318025 -1.684936 0.669879 2.515285 0.014413 0.585611 -2.877228 0.005446 1.548893 -0.206221 0.056968 3.619968 0.0586 0.0559813.683796 0.0004782.572728 0.017515 0229535 0.076308 0.9394090.212270 0.166191 0.379245 0.438216 0.662709 0.717285 0.349412 2.052836 0.044181 0510019 1.406388 0.164450 0.912280 0.153649 5.937439 0.000000 0.13 0.465863 0128927 3.613399 0 1sn 3 433 0 237728 1.815219 0.237445 0.8130721.685793 2.201216 0.134700 6.7726920.000000 1.292855 1.669301 6308 0.939409 0.212270 0.082515 0.934492 0.699913 0237445 0.81 0.000599 0113648 4.099187 0.000121 0.128927 0.113648

Explanation / Answer

1) is the OLS model significant (seen below)? Which test would we need to check the overall significance of the model (joint F statistic or joint wald statistic)? Why?

Joiny F stats because it has less variablity than the joint wald stats

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