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# ex1 - Mean Square F Value Pr> F x 1 5.00000000 5.00000000...

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EX 1: data ex1; /*name the data*/ input x y; /*what order the variables will be in*/ datalines ; /*the data starts after this line*/ 1 2 2 4 3 5 4 5 ; /*for some reason the semicolon gets its own line*/ proc glm data =ex1; /*do a regression on this data set*/ model y=x / solution ; /*dependent variable = independent variable the solution gives the estimates*/ run ; The SAS System 21:58 Saturday, May 3, 2008 1 The GLM Procedure Number of Observations Read 4 Number of Observations Used 4 The SAS System 21:58 Saturday, May 3, 2008 2 The GLM Procedure Dependent Variable: y Sum of Source DF Squares Mean Square F Value Pr > F Model 1 5.00000000 5.00000000 10.00 0.0871 Error 2 1.00000000 0.50000000 Corrected Total 3 6.00000000 R-Square Coeff Var Root MSE y Mean 0.833333 17.67767 0.707107 4.000000 Source DF Type I SS

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Unformatted text preview: Mean Square F Value Pr > F x 1 5.00000000 5.00000000 10.00 0.0871 Source DF Type III SS Mean Square F Value Pr > F x 1 5.00000000 5.00000000 10.00 0.0871 Standard Parameter Estimate Error t Value Pr > |t| Intercept 1.500000000 0.86602540 1.73 0.2254 x 1.000000000 0.31622777 3.16 0.0871 Questions: a) What is the model in parameter form? b) What is the model with the estimates plugged in? c) How do we get the t Value for the test for the significance of x? What are the degrees of freedom for this test? d) Can we conclude x (child’s age) has a linear association with y (times in the hospital) at the 0.05 level? At the 0.1 level? e) Interpret the R squared value....
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