Regression of Y on 1 and X2 Parameter Estimates: Variable DF Parameter Estimate
ID: 3181797 • Letter: R
Question
Regression of Y on 1 and X2 Parameter Estimates: Variable DF Parameter Estimate Standard Error Intercept 1 1236002 508021 2 -0.29160 -0.22040 0.11482 Note: Ssuxi, xaxixe), 1859429, ss(x1,xa) 17,622TT and SSE(X1, X2,X1X2) 61.65865 (a) State the model that relates Y with xi, x2, and the interaction of x1 and x2. ls the partial F test for the interaction significant. b) Is it appropriate to assess counfounding given your answer to Answer: (c) If you answer to part (b) is yes, does xi confound the relationship between Y and X2? Answer:Explanation / Answer
From the above table intercept, all the explanatory variables and their interaction do not significant association with Y at 0.05 level of significance.
From the above table intercept and the explanatory variable X1 do not significant association with Y at 0.05 level of significance.
From the above table intercept and the explanatory variable X2 do not significant association with Y at 0.05 level of significance.
Variable DF Parameter Estimate Standard Error t p-valu Intercept 1 26.00099 16.19163 1.605829 0.354576 X1 1 2.71685 3.3907 0.801265 0.569956 X2 1 -0.52958 0.36685 -1.44359 0.385679 X1X2 1 -0.06821 0.07684 -0.88769 0.537832