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Consider the Following to Answer the Question(s) Below

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Consider the following to answer the question(s) below:
Quarterly sales data (in $10,000) for a small company specializing in green cleaning products are shown in the time series graph below. Consider the following to answer the question(s)  below: Quarterly sales data (in $10,000)  for a small company specializing in green cleaning products are shown in the time series graph below.   A seasonal regression model was fit to these data and the results are shown below. The regression equation is Sales = 89.06 + 1.37t - 23.37Q2 - 23.91Q3 + 27.88Q4.   -The regression coefficients in the seasonal regression model indicate that A)  sales are, on average, lower in the first, second and third quarters compared with the fourth quarter. B)  sales are, on average, lowest in the fourth quarter. C)  sales are, on average, higher in the first, second and third quarters compared with the fourth quarter. D)  sales are, on average, lowest in the first quarter. E)  sales are, on average, lowest in the third quarter. A seasonal regression model was fit to these data and the results are shown below.
The regression equation is Sales = 89.06 + 1.37t - 23.37Q2 - 23.91Q3 + 27.88Q4. Consider the following to answer the question(s)  below: Quarterly sales data (in $10,000)  for a small company specializing in green cleaning products are shown in the time series graph below.   A seasonal regression model was fit to these data and the results are shown below. The regression equation is Sales = 89.06 + 1.37t - 23.37Q2 - 23.91Q3 + 27.88Q4.   -The regression coefficients in the seasonal regression model indicate that A)  sales are, on average, lower in the first, second and third quarters compared with the fourth quarter. B)  sales are, on average, lowest in the fourth quarter. C)  sales are, on average, higher in the first, second and third quarters compared with the fourth quarter. D)  sales are, on average, lowest in the first quarter. E)  sales are, on average, lowest in the third quarter.
-The regression coefficients in the seasonal regression model indicate that


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