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A Student Used Multiple Regression Analysis to Study How Family dfSS Regression 345.9634 Residual 112.6218 Total \begin{array}{lrr} & d f & S S \\\text { Regression }& 3 & 45.9634 \\\text { Residual } & 11 & 2.6218\\\text { Total }\end{array}

question 53

Essay

A student used multiple regression analysis to study how family spending (y) is influenced by income (x1), family size (x2), and additions to savings (x3).The variables y, x1, and x3 are measured in thousands of dollars.The following results were obtained. ANOVA
dfSS Regression 345.9634 Residual 112.6218 Total \begin{array}{lrr} & d f & S S \\\text { Regression }& 3 & 45.9634 \\\text { Residual } & 11 & 2.6218\\\text { Total }\end{array}
 Coefficients  Standard Error  Intercept 0.0136x10.79920.074x20.22800.190x30.57960.920\begin{array}{ll}&\text { Coefficients } & \text { Standard Error } \\\text { Intercept } &0.0136 & \\\mathrm{x}_{1}&0.7992 & 0.074 \\\mathrm{x}_{2}&0.2280 & 0.190 \\\mathrm{x}_{3}&-0.5796 & 0.920\end{array}

a.
Write out the estimated regression equation for the relationship between the variables.
b.
Compute R2. What can you say about the strength of this relationship?
c.
Carry out a test to determine whether y is significantly related to the independent variables. Use a .05 level of significance.
d.
Carry out a test to see if x3 and y are significantly related. Use a .05 level of significance.


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