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Multiple Regression Analysis Was Used to Study How an Individual's

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Multiple regression analysis was used to study how an individual's income (y in thousands of dollars) is influenced by age (x1 in years), level of education (x2 ranging from 1 to 5), and the individual's gender (x3 where 0 = female and 1 = male).The following is a partial result of a computer program that was used on a sample of 20 individuals.  Coefficients  Standard Error x10.6250.094x20.9210.190x30.5100.920\begin{array}{ll}&\text { Coefficients } & \text { Standard Error } \\x _ { 1 } &0.625 & 0.094 \\x _ { 2 } &0.921 & 0.190 \\x _ { 3 } &-0.510 & 0.920\end{array}
ANOVA
dfSSMSF Regression 84 Error 112\begin{array}{llll} & d f & S S & M S&F \\\text { Regression } && 84 &\\\text { Error } &&112 &\end{array}
a.
Compute the multiple coefficient of determination.
b.
Perform a t test and determine whether or not the coefficient of the variable "level of education" (i.e., x2) is significantly different from zero. Let α = .05.
c.
At α = .05, perform an F test and determine whether or not the regression model is significant.
d.
As you note, the coefficient of x3 is -.510. Fully interpret the meaning of this coefficient.


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