The following output has been extracted from SPSS printout for the linear regression model of Y as a linear function of x1, x2, x3, and x4:

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The following output has been extracted from SPSS printout for the linear
regression model of Y as a linear function of x1, x2, x3, and x4:
Variable
DF
Parameter
p-value
Estimates
Constant 1
0.099
0.001
x1
0.03
0.006
0.044
x2
0.031
x3
0.12
0.04
x4
-0.2
0.02
If the variable x4 is GENDER (male/female) and the
a)
reference category is female, interpret the value of the coefficient of x3
in the above table.
arks) If the sample size n for the above regression model is 29, and
b)
R for the above model is 0.60, compute the F-statistic for the global test
of model significance and test (at 5% level of significance) whether the 4
explanatory variables together explain a significant amount of the
variation in Y.
c) (
ks) Which independent variables, individually, have their
coefficients significant at 5% level? 1% level?
Transcribed Image Text:The following output has been extracted from SPSS printout for the linear regression model of Y as a linear function of x1, x2, x3, and x4: Variable DF Parameter p-value Estimates Constant 1 0.099 0.001 x1 0.03 0.006 0.044 x2 0.031 x3 0.12 0.04 x4 -0.2 0.02 If the variable x4 is GENDER (male/female) and the a) reference category is female, interpret the value of the coefficient of x3 in the above table. arks) If the sample size n for the above regression model is 29, and b) R for the above model is 0.60, compute the F-statistic for the global test of model significance and test (at 5% level of significance) whether the 4 explanatory variables together explain a significant amount of the variation in Y. c) ( ks) Which independent variables, individually, have their coefficients significant at 5% level? 1% level?
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