A time series with forecast values is presented in the following table: \[\begin{array} { | r | r | r | } \hline \text { Month } & \text { Aolual. } & \text { Foracafl } \\ \hline J an & a & \\ \hline \text { Mar } & 12 a & 1.1 a \\ \hline \text { May } & 1.15 a & 1.2 a \\ \hline J u l& 1.25 a & 12.21 a \\ \hline \mathrm { Sep } & 1.3 a & 1.25 a \\ \hline \end{array}\] On this table, a is some nondisclosed value.The mean square error (MSE)is ______% of a.

A) 4.15 B) 0.415 C) 4.15a D) 0.415a E) 0.00332 A) 4.15 B) 0.415 C) 4.15a D) 0.415a E) 0.00332

Exam 15: Time-Series Forecasting and Index Numbers

A time series with forecast values is presented in the following table: Month Aolual. Foracafl Jan a Mar 12a 1.1a May 1.15a 1.2a Jul 1.25a 12.21a 1.3a 1.25a On this table, a is some nondisclosed value.The mean square error (MSE)is ______% of a.

(Multiple Choice)

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Question 101

If a researcher is using exponential smoothing and determines that the forecast for the next period (F_{t + 1})is the weighted average of the actual value for the previous period (X_t)and the forecast value for the previous period (F_t), with weights of p and q respectively, then α = ______.

(Multiple Choice)

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Question 102

A weighted aggregate price index where the weight for each item is computed by using the quantities of the year of interest is known as the

(Multiple Choice)

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Question 103

Showing 101 - 103 of 103

A time series with forecast values is presented in the following table: Month Aolual. Foracafl Jan a Mar 12a 1.1a May 1.15a 1.2a Jul 1.25a 12.21a 1.3a 1.25a On this table, a is some nondisclosed value.The mean square error (MSE)is ______% of a.

If a researcher is using exponential smoothing and determines that the forecast for the next period (F_{t + 1})is the weighted average of the actual value for the previous period (X_t)and the forecast value for the previous period (F_t), with weights of p and q respectively, then α = ______.

A weighted aggregate price index where the weight for each item is computed by using the quantities of the year of interest is known as the

Introduction to Statistics and Business Analytics

Visualizing Data With Charts and Graphs

Descriptive Statistics

Probability

Discrete Distributions

Continuous Distributions

Sampling and Sampling Distributions

Statistical Inference: Estimation for Single Populations

Statistical Inference: Hypothesis Testing for Single Populations

Statistical Inferences About Two Populations

Analysis of Variance and Design of Experiments

Simple Regression Analysis and Correlation

Multiple Regression Analysis

Building Multiple Regression Models

Analysis of Categorical Data

Nonparametric Statistics

Statistical Quality Control

Decision Analysis

Filters

Exam 15: Time-Series Forecasting and Index Numbers

A time series with forecast values is presented in the following table: Month Aolual. Foracafl Jan a Mar 12a 1.1a May 1.15a 1.2a Jul 1.25a 12.21a 1.3a 1.25a On this table, a is some nondisclosed value.The mean square error (MSE)is ______% of a.

If a researcher is using exponential smoothing and determines that the forecast for the next period (Ft + 1)is the weighted average of the actual value for the previous period (Xt)and the forecast value for the previous period (Ft), with weights of p and q respectively, then α = ______.

A weighted aggregate price index where the weight for each item is computed by using the quantities of the year of interest is known as the

Introduction to Statistics and Business Analytics

Visualizing Data With Charts and Graphs

Descriptive Statistics

Probability

Discrete Distributions

Continuous Distributions

Sampling and Sampling Distributions

Statistical Inference: Estimation for Single Populations

Statistical Inference: Hypothesis Testing for Single Populations

Statistical Inferences About Two Populations

Analysis of Variance and Design of Experiments

Simple Regression Analysis and Correlation

Multiple Regression Analysis

Building Multiple Regression Models

Analysis of Categorical Data

Nonparametric Statistics

Statistical Quality Control

Decision Analysis

Filters

If a researcher is using exponential smoothing and determines that the forecast for the next period (F_{t + 1})is the weighted average of the actual value for the previous period (X_t)and the forecast value for the previous period (F_t), with weights of p and q respectively, then α = ______.