Regression of yi = ꞵ0 + ꞵ1 xi1 + ꞵ2 xi2 + ꞵ3 xi3 + ꞵ4 xi4 + ui yields the following results in tabular form. The tabulated t- statistics is 2.6 , 1.96 and 1.64 for one , five and ten percent significance levels respectively. State the null and alternative hypotheses for each & identify those variables affecting the dependent variable of xi1 coefficient and Std. error are 1731.784 and 255.4491, xi2 coefficient and Std. error are 667.8642 and 250.4062 xi3 coefficient and Std. error are -38.44927 and 200.0217, xi4 coefficient and Std. error are -48.14751 and 423.5669 and ꞵ0 coefficient and Std. error are 3559.713 and 243.1407
Comments
Leave a comment