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Unformatted text preview: lowing partial computer output was obtained. What is the predicted value of y when t = 20?
990.42 AACSB: Analytic
Bloom's: Application
Difficulty: Medium
Learning Objective: 2
Topic: Time series regression 117. Use the following information for the three grains. Calculate the simple price index for each grain separately.
116.7, 120, 125 AACSB: Analytic
Bloom's: Application
Difficulty: Medium
Learning Objective: 9
Topic: Index numbers 11638 Chapter 01  An Introduction to Business Statistics 118. Use the following information for the three grains. Calculate the aggregate price index.
120 AACSB: Analytic
Bloom's: Application
Difficulty: Medium
Learning Objective: 9
Topic: Index numbers 119. Use the following information for the three grains. Calculate the Laspeyres index.
120.93 AACSB: Analytic
Bloom's: Application
Difficulty: Medium
Learning Objective: 9
Topic: Index numbers 11639 Chapter 01  An Introduction to Business Statistics 120. Use the following information for the three grains. Calculate the Paasche index.
79.1 AACSB: Analytic
Bloom's: Application
Difficulty: Medium
Learning Objective: 9
Topic: Index numbers 121. The following data on prices and quantities for the years 1995 and 2000 are given for
three products. Calculate the simple price index for each product separately.
200, 75, 133 AACSB: Analytic
Bloom's: Application
Difficulty: Easy
Learning Objective: 9
Topic: Index numbers 11640 Chapter 01  An Introduction to Business Statistics 122. The following data on prices and quantities for the years 1995 and 2000 are given for
three products. Calculate the aggregate price index.
120 AACSB: Analytic
Bloom's: Application
Difficulty: Medium
Learning Objective: 9
Topic: Index numbers 123. The following data on prices and quantities for the years 1995 and 2000 are given for
three products. Calculate the Laspeyres index.
109.78 AACSB: Analytic
Bloom's: Application
Difficulty: Medium
Learning Objective: 9
Topic: Index numbers 11641 Chapter 01  An Introduction to Business Statistics 124. The following data on prices and quantities for the years 1995 and 2000 are given for
three products. Calculate the Paasche index.
123.91 AACSB: Analytic
Bloom's: Application
Difficulty: Medium
Learning Objective: 9
Topic: Index numbers 125. Consider the quarterly production data (in thousands of units) for the XYZ
manufacturing company below. Calculate the 4 period (quarter) moving average for the entire time series.
14.5, 17.5, 18.5, 22, 23.5, 24.5, 26.25, 27.25, 29.5 AACSB: Analytic
Bloom's: Application
Difficulty: Medium
Learning Objective: 4
Topic: Moving averages 11642 Chapter 01  An Introduction to Business Statistics 126. Consider the quarterly production data (in thousands of units) for the XYZ
manufacturing company below. Calculate the 4 period (quarter) centered moving average for the entire time series.
16, 18, 20.25, 22.75, 24, 25.38, 26.75, and 28.38 AACSB: Analytic
Bloom's: Application
Difficulty: Medium
Learning Objective: 4
Topic: Moving averages 11643 Chapter 01  An Introduction to Business Statistics 127. Consider the quarterly production data (in thousands of units) for the XYZ
manufacturing company below. Calculate the ratio of actual production to the centered moving average values (sn t * irt) for
the entire time series.
1.00, .944, 1.037, .879, 1.25, .906, .935, .951
Centered moving average values are 16, 18, 20.25, 22.75, 24, 25.38, 26.75, and 28.38
respectively. These centered moving average values are calculated as follows. (snt * irt) values are calculated by taking the ratio of actual time series value to the centered
moving average.
(16/16) = 1; (17/18) = .944; (21/20.25) = 1.037; (20/22.75) = .879; (30/24) = 1.25; (23/25.38)
= .906; (25/26.75) = .935; (27/28.38) = .951 AACSB: Analytic
Bloom's: Application
Difficulty: Medium
Learning Objective: 4
Topic: Moving averages 11644 Chapter 01  An Introduction to Business Statistics 128. Consider the quarterly production data (in thousands of units) for the XYZ
manufacturing company below. Calculate the average seasonal factor for each quarter
.
Centered moving average values and their respective periods are given below. .986, .915, 1.125, and .925 for winter, spring, summer and fall respectively.
First, we calculate the (snt * irt) values for the entire time series, then we find the average (snt
* irt) value for each quarter.
(snt * irt) values are calculated by taking the ratio of actual time series value to the centered
moving average.
(16/16) = 1; (17/18) = .944; (21/20.25) = 1.037; (20/22.75) = .879; (30/24) = 1.25; (23/25.38)
= .906; (25/26.75) = .935; (27/28.38) = .951 AACSB: Analytic
Bloom's: Application
Difficulty: Medium
Learning Objective: 4
Topic: Moving averages 11645 Chapter 01  An Introduction to Business Statistics 129. Based on the quarterly production data (in thousands of units) for the XYZ
manufacturing company, the average seasonal factor
is .986 for winter, .915 for spring,
1.125 for summer and .925 for fall. Determin...
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 Winter '14

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