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TABLE 14-7
the Department Head of the Accounting SUMMARY OUTPUT\text {SUMMARY OUTPUT}

Question 9

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TABLE 14-7
The department head of the accounting department wanted to see if she could predict the GPA of students using the number of course units (credits) and total SAT scores of each. She takes a sample of students and generates the following Microsoft Excel output:
SUMMARY OUTPUT\text {SUMMARY OUTPUT}
 Regression Statistics  Multiple R 0.916 R Square0.839 Adjusted R Square0.732 Standard Error 0.24685 Observations6\begin{array}{ll}\hline \text { Regression Statistics } \\\hline \text { Multiple R }& 0.916 \\ \text { R Square} & 0.839 \\ \text { Adjusted R Square} & 0.732 \\ \text { Standard Error }& 0.24685 \\ \text { Observations} & 6 \\\hline\end{array}

ANOVA
d f  SS  M S  F Significance F  Regression20.952190.476107.8130.0646Residual30.182810.06094Total51.13500\begin{array}{lccclc}\hline & \text {d f }& \text { SS }& \text { M S } & \text { F } & \text {Significance F } \\\hline \text { Regression} & 2 & 0.95219 & 0.47610 & 7.813 & 0.0646 \\ \text {Residual} & 3 & 0.18281 & 0.06094 & & \\ \text {Total} & 5 & 1.13500 & & & \\\hline\end{array}

Coefficients Standard Errort Stat  p -value Intercept 4.5938971.133745424.0520.0271Units 0.2472700.062684853.9450.0290SAT Total 0.0014430.001012411.4250.2494\begin{array}{lrcrr}\hline & \text {Coefficients }& \text {Standard Error} & \text {t Stat } & \text { p -value} \\\hline \text { Intercept }& 4.593897 & 1.13374542 & 4.052 & 0.0271 \\ \text {Units }& -0.247270 & 0.06268485 & -3.945 & 0.0290 \\ \text {SAT Total }& 0.001443 & 0.00101241 & 1.425 & 0.2494 \\\hline\end{array}


-Referring to Table 14-7, the department head wants to test H0 : ?1 = ?2 = 0. The appropriate alternative hypothesis is _____.

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