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TABLE 16-13 Given Below Is the Monthly Time-Series Data for U.S. Retail

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TABLE 16-13
Given below is the monthly time-series data for U.S. retail sales of building materials over a specific year.
TABLE 16-13 Given below is the monthly time-series data for U.S. retail sales of building materials over a specific year.     The results of the linear trend, quadratic trend, exponential trend, first-order autoregressive, second-order autoregressive and third-order autoregressive model are presented below in which the coded month for the first month is 0:                -Referring to Table 16-13, what is the exponentially smoothed forecast for the 13ᵗʰ month using a smoothing coefficient of W = 0.25 if the exponentially smooth value for the 10ᵗʰ and 11ᵗʰ month are 9,477.7776 and 9,411.8332, respectively?
The results of the linear trend, quadratic trend, exponential trend, first-order autoregressive, second-order autoregressive and third-order autoregressive model are presented below in which the coded month for the first month is 0:
TABLE 16-13 Given below is the monthly time-series data for U.S. retail sales of building materials over a specific year.     The results of the linear trend, quadratic trend, exponential trend, first-order autoregressive, second-order autoregressive and third-order autoregressive model are presented below in which the coded month for the first month is 0:                -Referring to Table 16-13, what is the exponentially smoothed forecast for the 13ᵗʰ month using a smoothing coefficient of W = 0.25 if the exponentially smooth value for the 10ᵗʰ and 11ᵗʰ month are 9,477.7776 and 9,411.8332, respectively?
TABLE 16-13 Given below is the monthly time-series data for U.S. retail sales of building materials over a specific year.     The results of the linear trend, quadratic trend, exponential trend, first-order autoregressive, second-order autoregressive and third-order autoregressive model are presented below in which the coded month for the first month is 0:                -Referring to Table 16-13, what is the exponentially smoothed forecast for the 13ᵗʰ month using a smoothing coefficient of W = 0.25 if the exponentially smooth value for the 10ᵗʰ and 11ᵗʰ month are 9,477.7776 and 9,411.8332, respectively?
TABLE 16-13 Given below is the monthly time-series data for U.S. retail sales of building materials over a specific year.     The results of the linear trend, quadratic trend, exponential trend, first-order autoregressive, second-order autoregressive and third-order autoregressive model are presented below in which the coded month for the first month is 0:                -Referring to Table 16-13, what is the exponentially smoothed forecast for the 13ᵗʰ month using a smoothing coefficient of W = 0.25 if the exponentially smooth value for the 10ᵗʰ and 11ᵗʰ month are 9,477.7776 and 9,411.8332, respectively?
TABLE 16-13 Given below is the monthly time-series data for U.S. retail sales of building materials over a specific year.     The results of the linear trend, quadratic trend, exponential trend, first-order autoregressive, second-order autoregressive and third-order autoregressive model are presented below in which the coded month for the first month is 0:                -Referring to Table 16-13, what is the exponentially smoothed forecast for the 13ᵗʰ month using a smoothing coefficient of W = 0.25 if the exponentially smooth value for the 10ᵗʰ and 11ᵗʰ month are 9,477.7776 and 9,411.8332, respectively?
-Referring to Table 16-13, what is the exponentially smoothed forecast for the 13ᵗʰ month using a smoothing coefficient of W = 0.25 if the exponentially smooth value for the 10ᵗʰ and 11ᵗʰ month are 9,477.7776 and 9,411.8332, respectively?


Definitions:

Debts

Money that is owed or due to be paid to another individual or entity.

Sole Proprietorship

Business ownership in which there is no legal distinction between the sole proprietor’s status as an individual and his or her status as a business owner.

Partnership

A legal business structure where two or more individuals agree to share the profits and losses of a business.

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