Unformatted text preview: d state the linear trend regression prediction equation. A. 2.5 + 1.43t
B. 2.86 + 2.5t
C. 1.43 + 2.5t
D. 4.00 + 1.43t 101. The linear trend equation for the following data is What is the predicted value of the fund in the period t = 1?
A. 11.43
B. 3.93
C. 8.22
D. 2.50 11550 Chapter 01  An Introduction to Business Statistics 102. The linear trend equation for the following data is What is the predicted value of the fund in the period 7?
A. 12.51
B. 48.93
C. 18.93
D. 29.67 103. The linear trend equation for the following data is Find the residual value (error) for period 7.
A. 6.49
B. 29.93
C. 0.07
D. 10.67 11551 Chapter 01  An Introduction to Business Statistics 104. Consider the regression equation = 6.04 + 0.10(t) and the data below. Compute the predicted value of sales for period 8.
A. 48.42
B. 14.04
C. 6.75
D. 6.84 11552 Chapter 01  An Introduction to Business Statistics 105. Consider the regression equation = 6.04 + 0.10(t) and the data below. Compute the residual (error term) for period 8.
A. 1.25
B. 1.16
C. 0.35
D. 0.26 Essay Questions 106. Consider the following set of quarterly sales data given in thousands of dollars. Write an appropriate dummy variable model that incorporates a linear trend and constant
seasonal variation. 11553 Chapter 01  An Introduction to Business Statistics 107. Consider the following set of quarterly sales data given in thousands of dollars. The following dummy variable model that incorporates a linear trend and constant seasonal
variation was used: y (t) = B0 + B1t + BQ1(Q1) + BQ2(Q2) + BQ3(Q3) + Et
In this model there are 3 binary seasonal variables (Q1, Q2, and Q3).
Where
Qi is a binary (0, 1) variable defined as:
Qi = 1, if the time series data is associated with quarter i;
Qi = 0, if the time series data is not associated with quarter i.
The results associated with this data and model are given in the following MINITAB
computer output.
The regression equation is
Sales = 2442 + 6.2 Time  693 Q1  1499 Q2 + 153 Q3 Provide a managerial interpretation of the regression coefficients for the variable "Q1"
(quarter 1), "Q2" (quarter 2) and "Q3" (quarter 3). 11554 Chapter 01  An Introduction to Business Statistics 108. Consider the following set of quarterly sales data given in thousands of dollars. The following dummy variable model that incorporates a linear trend and constant seasonal
variation was used: y (t) = B0 + B1t + BQ1(Q1) + BQ2(Q2) + BQ3(Q3) + Et
In this model there are 3 binary seasonal variables (Q1, Q2, and Q3).
Where
Qi is a binary (0, 1) variable defined as:
Qi = 1, if the time series data is associated with quarter i;
Qi = 0, if the time series data is not associated with quarter i.
The results associated with this data and model are given in the following MINITAB
computer output.
The regression equation is
Sales = 2442 + 6.2 Time  693 Q1  1499 Q2 + 153 Q3 Provide a managerial interpretation of the regression coefficient for the variable "time." 11555 Chapter 01  An Introduction to Business Statistics 109. Consider the following set of quarterly sales data given in thousands of dollars. The following dummy variable model that incorporates a linear trend and constant seasonal
variation was used: y (t) = B0 + B1t + BQ1(Q1) + BQ2(Q2) + BQ3(Q3) + Et
In this model there are 3 binary seasonal variables (Q1, Q2, and Q3).
Where
Qi is a binary (0, 1) variable defined as:
Qi = 1, if the time series data is associated with quarter i;
Qi = 0, if the time series data is not associated with quarter i.
The results associated with this data and model are given in the following MINITAB
computer output.
The regression equation is
Sales = 2442 + 6.2 Time  693 Q1  1499 Q2 + 153 Q3 At α = .05, test the significance of the model. 11556 Chapter 01  An Introduction to Business Statistics 110. The linear regression trend model was applied to a time series sales data based on the last
24 months' sales. The following partial computer output was obtained. Write the prediction equation. 111. The linear regression trend model was applied to a time series sales data based on the last
24 months' sales. The following partial computer output was obtained. Test the significance of the time term at α = .05. State the critical t value and make your
decision using a twosided alternative. 112. The linear regression trend model was applied to a time series sales data based on the last
24 months' sales. The following partial computer output was obtained. What is the predicted value of y when t = 25? 11557 Chapter 01  An Introduction to Business Statistics 113. Consider a time series with 15 quarterly sales observations. Using the quadratic trend
model the following partial computer output was obtained. Write the prediction equation. 114. Consider a time series with 15 quarterly sales observations. Using the quadratic trend
model the following partial computer output was obtained. State the twosided null and alternative hypothesis to test...
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 Winter '14
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