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TABLE 16-11  Businessclosures in Laramie, Wyomingfrom 1989 to 1994 were: \text { Businessclosures in Laramie, Wyomingfrom } 1989 \text { to } 1994 \text { were: }

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TABLE 16-11
 Businessclosures in Laramie, Wyomingfrom 1989 to 1994 were: \text { Businessclosures in Laramie, Wyomingfrom } 1989 \text { to } 1994 \text { were: } 199310199411199513199619199724199835\begin{array} { l l } 1993 & 10 \\1994 & 11 \\1995 & 13 \\1996 & 19 \\1997 & 24 \\1998 & 35\end{array} Microsoft Excel was used to fit both first-order and second-order autoregressive models, resulting in the following partial outputs:
SUMMARY OUTPUT- 2nd  Order Model\text {SUMMARY OUTPUT- \(2 ^ { \text {nd } }\) Order Model}

Coefficients Intercept 5.77 XVariable 1 0.80 XVariable 2 1.14\begin{array} { l c }&\text {Coefficients}\\ \text { Intercept } & - 5.77 \\ \text { XVariable 1 } & 0.80 \\ \text { XVariable 2 } & 1.14 \end{array} .

SUMMARY OUTPUT- 1st  Order Model\text {SUMMARY OUTPUT- \(1 ^ { \text {st } }\) Order Model}

Coefficients Intercept 4.16 X Variable 11.59\begin{array}{cr}&\text {Coefficients}\\ \text { Intercept } & -4.16 \\\text { X Variable } 1 & 1.59 \\\hline\end{array}

-Referring to Table 16-11, the fitted values for the first-order autoregressive model are_____,_____ ,______ ,______ , and_____ .

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11.74, 13....

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