Cell Phones The number of peak cell-phones minutes used each month by a particular person is shown in the table below: \[\begin{array} { | c | c | } \hline \text { Manth } & \text { Minutas } \\ \hline 1 & 74 \\ \hline 2 & 86 \\ \hline 3 & 70 \\ \hline 4 & 96 \\ \hline 5 & 111 \\ \hline 6 & 102 \\ \hline 7 & 115 \\ \hline \mathbf { 8 } & 126 \\ \hline \end{array}\] -What is the linear trend equation?

The answer of Cell Phones The number of peak cell-phones minutes...

Highland Automotvie The table below summarizes the number of new cars Highland Automotive sold during each of the last five weeks along with a forecast that was generated for each of those weeks. \[\begin{array} { | c | c | c } \hline \text { Week } & \text { Number af Cars 5ald } & \text { Farecast } \\ \hline 1 & 24 & 20 \\ \hline 2 & 21 & 22 \\ \hline 3 & 25 & 21 \\ \hline 4 & 19 & 23 \\ \hline 5 & 34 & 21 \\ \hline \end{array}\] -What is the mean absolute deviation for this forecast?

The answer of Highland Automotvie The table below summarizes the number...

Daily sales volume from the Avalon Convenience Store is shown in the table below. \[\begin{array} { | c | c | } \hline \text { Day } & \text { Sales } ( \mathrm { \$ } ) \\ \hline 1 & 512 \\ \hline 2 & 328 \\ \hline 3 & 538 \\ \hline 4 & 662 \\ \hline 5 & 498 \\ \hline 6 & 546 \\ \hline 7 & 579 \\ \hline 8 & 595 \\ \hline 9 & 616 \\ \hline 10 & 655 \\ \hline \end{array}\] What is the linear trend estimate for Day 4?

The answer of Daily sales volume from the Avalon Convenience...

Susan Young Susan Young is a college student who has just completed her junior year.The table below summarizes her Grade Point Average (GPA)for each of the last nine semesters. \[\begin{array} { | c | c | c | } \hline \text { Year } & \text { Semaster } & \text { CPA } \\ \hline \text { Freshman } & \text { Fall } & 2.5 \\ \hline & \text { Winter } & 2.8 \\ \hline & \text { Spring } & 2.6 \\ \hline \text { Sophomore } & \text { Fall } & 2.4 \\ \hline & \text { Winter } & 3.1 \\ \hline & \text { Spring } & 2.8 \\ \hline \text { Junior } & \text { Fall } & 2.6 \\ \hline & \text { Winter } & 3.5 \\ \hline & \text { Spring } & 3.1 \\ \hline \end{array}\] -What is the linear trend estimate for Susan's GPA for Spring semester Sophomore year?

The answer of Susan Young Susan Young is a college student...

Exam 18: Models for Time Series and Forecasting

Cell Phones The number of peak cell-phones minutes used each month by a particular person is shown in the table below: Manth Minutas 1 74 2 86 3 70 4 96 5 111 6 102 7 115 126 -What is the linear trend equation?

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Question 61

What is the purpose of using the moving average?

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Question 62

Highland Automotvie The table below summarizes the number of new cars Highland Automotive sold during each of the last five weeks along with a forecast that was generated for each of those weeks. Week Number af Cars 5ald Farecast 1 24 20 2 21 22 3 25 21 4 19 23 5 34 21 -What is the mean absolute deviation for this forecast?

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Question 63

In determining weekly seasonal indexes for electrical consumption,the sum of the 52 means for electrical consumption as a percentage of the moving average is 5193.To get the seasonal indexes,each monthly mean is to be multiplied by ____________________________________.

(Short Answer)

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Question 64

In de-seasonalizing a time series,we remove the seasonal influences and generate a time series that is said to be seasonally adjusted.

(True/False)

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Question 65

By analyzing a time series,we can identify patterns and tendencies that help explain variation in past sales,shipments,rainfall,or any other variable of interest.

(True/False)

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Question 66

The following trend line was calculated from quarterly data for 1996 - 2000: $\hat { Y }$ = 0.70 + 0.005t,where t = 1 for the first quarter of 1996.The seasonal indexes computed from the trend line for the four quarters of the year 2001 were 0.85,1.05,1.15,and 0.80,respectively.What is the seasonalized forecast for the third quarter of the year 2001?

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Question 67

Five trend models for the same time series data are compared and the MSE values are 35,9,15,118,and 25.The worst fitting model to the data is the one whose MSE is ____________________.

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Question 68

In determining monthly seasonal indexes for gas consumption,the sum of the 12 means for gas consumption as a percentage of the moving average is 1150.To get the seasonal indexes,each of the 12 monthly means is to be multiplied by:

(Multiple Choice)

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Question 69

The trend equation $\hat { Y }$ = 1300 + 25x has been fitted to a time series for auto industry worker days lost due to job-related injuries.If x = 1 for 1999,estimate the number of worker days lost during 2010.

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Question 70

The seasonal indexes for a convention center's bookings are 85,128,104,and 83 for quarters 1 through 4,respectively.What percentage of the center's annual bookings tend to occur during the second quarter?

(Short Answer)

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Question 71

How do the MAD and MSE criteria differ in their approach to evaluating the fit of an estimation equation to a time series?

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Question 72

In general,the most important component of most time series is the irregular,which can be examined by using regression techniques.

(True/False)

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Question 73

The trend equation for quarter sales data (in millions of dollars)for 1996-2000 is $\hat { \mathrm { y } } _ { t }$ = 6.8 + 1.2t,where t = 1 for the first quarter of 1996.If the seasonal index for the third quarter of 2001 is 1.25,then the forecasted sales for the third quarter of 2001 is:

(Multiple Choice)

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Question 74

Daily sales volume from the Avalon Convenience Store is shown in the table below. Day Sales () 1 512 2 328 3 538 4 662 5 498 6 546 7 579 8 595 9 616 10 655 What is the linear trend estimate for Day 4?

(Short Answer)

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Question 75

The smoothing techniques,such as moving average or exponential smoothing,function much like the shock absorbers of an automobile; damping the sudden upward and downward "jolts" that occur over the series.

(True/False)

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Question 76

The regression output produced by MINITAB for times series set of data is shown below: The regression equation is $\mathrm { C } 1 = 33.6 + 0.709 \mathrm { C } 2$ $The regression output produced by MINITAB for times series set of data is shown below: The regression equation is \mathrm { C } 1 = 33.6 + 0.709 \mathrm { C } 2 s = 3.283 \quad R - s q = 53.1 \% \quad R - s q ( a d j ) = 49.7 \% Analysis of Variance \begin{array} { l l c r c r r r } \text { SOURCE } & \text { DF } & & \text { SS } & \text { MS } & \text { F } & p & \\ \text { Regression } & & 1 & & 170.83 & 170.83 & 15.85 & 0.001 \\ \text { Error } & 14 & & 150.92 & 10.78 & & & \\ \text { Total } & 15 & & 321.75 & & & & \end{array} Durbin-Watson statistic = 1.94 Test for positive autocorrelation using a 0.05 significance level. Test statistic = Critical Value = Conclusion: Interpretation: $ $s = 3.283 \quad R - s q = 53.1 \% \quad R - s q ( a d j ) = 49.7 \%$ Analysis of Variance SOURCE DF SS MS F p Regression 1 170.83 170.83 15.85 0.001 Error 14 150.92 10.78 Total 15 321.75 Durbin-Watson statistic $= 1.94$ Test for positive autocorrelation using a 0.05 significance level. Test statistic = Critical Value = Conclusion: Interpretation: ____________________

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Question 77

Susan Young Susan Young is a college student who has just completed her junior year.The table below summarizes her Grade Point Average (GPA)for each of the last nine semesters. Year Semaster CPA Freshman Fall 2.5 Winter 2.8 Spring 2.6 Sophomore Fall 2.4 Winter 3.1 Spring 2.8 Junior Fall 2.6 Winter 3.5 Spring 3.1 -What is the linear trend estimate for Susan's GPA for Spring semester Sophomore year?

(Short Answer)

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Question 78

____________________ are measures intended to reflect the extent to which various parts of the year experience higher or lower levels of production,demand,or other kinds of economic activity.

(Short Answer)

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Question 79

The upsurge in school supply sales in the fall of each year is an example of the:

(Multiple Choice)

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Question 80

Showing 61 - 80 of 127

Cell Phones The number of peak cell-phones minutes used each month by a particular person is shown in the table below: Manth Minutas 1 74 2 86 3 70 4 96 5 111 6 102 7 115 126 -What is the linear trend equation?

What is the purpose of using the moving average?

In determining weekly seasonal indexes for electrical consumption,the sum of the 52 means for electrical consumption as a percentage of the moving average is 5193.To get the seasonal indexes,each monthly mean is to be multiplied by ____________________________________.

In de-seasonalizing a time series,we remove the seasonal influences and generate a time series that is said to be seasonally adjusted.

By analyzing a time series,we can identify patterns and tendencies that help explain variation in past sales,shipments,rainfall,or any other variable of interest.

Five trend models for the same time series data are compared and the MSE values are 35,9,15,118,and 25.The worst fitting model to the data is the one whose MSE is ____________________.

In determining monthly seasonal indexes for gas consumption,the sum of the 12 means for gas consumption as a percentage of the moving average is 1150.To get the seasonal indexes,each of the 12 monthly means is to be multiplied by:

The trend equation $\hat { Y }$ = 1300 + 25x has been fitted to a time series for auto industry worker days lost due to job-related injuries.If x = 1 for 1999,estimate the number of worker days lost during 2010.

The seasonal indexes for a convention center's bookings are 85,128,104,and 83 for quarters 1 through 4,respectively.What percentage of the center's annual bookings tend to occur during the second quarter?

How do the MAD and MSE criteria differ in their approach to evaluating the fit of an estimation equation to a time series?

In general,the most important component of most time series is the irregular,which can be examined by using regression techniques.

The trend equation for quarter sales data (in millions of dollars)for 1996-2000 is $\hat { \mathrm { y } } _ { t }$ = 6.8 + 1.2t,where t = 1 for the first quarter of 1996.If the seasonal index for the third quarter of 2001 is 1.25,then the forecasted sales for the third quarter of 2001 is:

Daily sales volume from the Avalon Convenience Store is shown in the table below. Day Sales () 1 512 2 328 3 538 4 662 5 498 6 546 7 579 8 595 9 616 10 655 What is the linear trend estimate for Day 4?

The smoothing techniques,such as moving average or exponential smoothing,function much like the shock absorbers of an automobile; damping the sudden upward and downward "jolts" that occur over the series.

____________________ are measures intended to reflect the extent to which various parts of the year experience higher or lower levels of production,demand,or other kinds of economic activity.

The upsurge in school supply sales in the fall of each year is an example of the:

A Preview of Business Statistics

Visual Description of Data

Statistical Description of Data

Data Collection and Sampling Methods

Probability: Review of Basic Concepts

Discrete Probability Distributions

Continuous Probability Distributions

Sampling Distributions

Estimation From Sample Data

Hypothesis Tests Involving a Sample Mean or Proportion

Hypothesis Tests Involving Two Sample Means

Analysis of Variance Tests

Chi-Square Applications

Nonparametric Methods

Simple Linear Regression and Correlation

Multiple Regression and Correlation

Model Building

Decision Theory

Total Quality Management

Filters

Exam 18: Models for Time Series and Forecasting

Cell Phones The number of peak cell-phones minutes used each month by a particular person is shown in the table below: Manth Minutas 1 74 2 86 3 70 4 96 5 111 6 102 7 115 126 -What is the linear trend equation?

What is the purpose of using the moving average?

In determining weekly seasonal indexes for electrical consumption,the sum of the 52 means for electrical consumption as a percentage of the moving average is 5193.To get the seasonal indexes,each monthly mean is to be multiplied by ____________________________________.

In de-seasonalizing a time series,we remove the seasonal influences and generate a time series that is said to be seasonally adjusted.

By analyzing a time series,we can identify patterns and tendencies that help explain variation in past sales,shipments,rainfall,or any other variable of interest.

Five trend models for the same time series data are compared and the MSE values are 35,9,15,118,and 25.The worst fitting model to the data is the one whose MSE is ____________________.

In determining monthly seasonal indexes for gas consumption,the sum of the 12 means for gas consumption as a percentage of the moving average is 1150.To get the seasonal indexes,each of the 12 monthly means is to be multiplied by:

The trend equation Y^\hat { Y }Y^ = 1300 + 25x has been fitted to a time series for auto industry worker days lost due to job-related injuries.If x = 1 for 1999,estimate the number of worker days lost during 2010.

The seasonal indexes for a convention center's bookings are 85,128,104,and 83 for quarters 1 through 4,respectively.What percentage of the center's annual bookings tend to occur during the second quarter?

How do the MAD and MSE criteria differ in their approach to evaluating the fit of an estimation equation to a time series?

In general,the most important component of most time series is the irregular,which can be examined by using regression techniques.

Daily sales volume from the Avalon Convenience Store is shown in the table below. Day Sales () 1 512 2 328 3 538 4 662 5 498 6 546 7 579 8 595 9 616 10 655 What is the linear trend estimate for Day 4?

The smoothing techniques,such as moving average or exponential smoothing,function much like the shock absorbers of an automobile; damping the sudden upward and downward "jolts" that occur over the series.

____________________ are measures intended to reflect the extent to which various parts of the year experience higher or lower levels of production,demand,or other kinds of economic activity.

The upsurge in school supply sales in the fall of each year is an example of the:

A Preview of Business Statistics

Visual Description of Data

Statistical Description of Data

Data Collection and Sampling Methods

Probability: Review of Basic Concepts

Discrete Probability Distributions

Continuous Probability Distributions

Sampling Distributions

Estimation From Sample Data

Hypothesis Tests Involving a Sample Mean or Proportion

Hypothesis Tests Involving Two Sample Means

Analysis of Variance Tests

Chi-Square Applications

Nonparametric Methods

Simple Linear Regression and Correlation

Multiple Regression and Correlation

Model Building

Decision Theory

Total Quality Management

Filters

The trend equation $\hat { Y }$ = 1300 + 25x has been fitted to a time series for auto industry worker days lost due to job-related injuries.If x = 1 for 1999,estimate the number of worker days lost during 2010.