Answered: What are the various Assumptions of…

Business

Operations Management

What are the various Assumptions of Distributed Lag regression Model? Explain in detail?

Marketing

20th Edition

ISBN:9780357033791

Author:Pride, William M

Publisher:Pride, William M

Chapter6: Target Markets: Segmentation And Evaluation

Section: Chapter Questions

Problem 17DRQ: Under what conditions might a firm use multiple forecasting methods?

See similar textbooks

Related questions

Q: What is Multiple regression analysis?

A: Forecasting is used to predict future changes or demand patterns. It involves different approaches…

Q: a. Determine the regression equation. (Round to 2 decimal places.) Regression equation: ŷ = ______…

A: Below is the solution:-

Q: a. Construct a causal regression model using PMIl as the causal variable. How well does your model…

A: A regression model is a function that represents the connection between a response, dependent,…

Q: Sophisticated forecasting models are not always better than simple o There is no single forecasting…

A: Forecasting is one of the ways in which the companies try to analyse their future demand. The…

Q: The data show the bug chirps per minute at different temperatures. Find the regression equation,…

Q: 2. What is the Mean Absolute Deviation (MAD)? 3. Use the following set of data to calculate the Mean…

A: Forecasting is the process of predicting the future demand based on previous or historic data and…

Q: Describe the Nonlinear and Multiple Regression Analysis?

A: Non-linear Regression In the non-linear regression, method data is fit to a model and then it is…

Q: What are similarities of Interrupted Time Series and Regression Discontinuity? What are some…

A: Statistical analysis is done by gathering and interpreting data so that it can help to discover…

Q: What is Regression? Explain Logistic Regression?

A: Regression as fancy as it sounds can be thought of as a “relationship” between any two things. For…

Q: he following data were collected during a study of consumer buying patterns: Observation x…

A: Given that: Observation x y 1 19 72 2 21 81 3 43 79 4 28 81 5 56 98 6 49 96 7 32 82…

Q: What factors would you consider in deciding whether to use wide or narrow control limits for…

A: Control limits refer to those limits within which all the data values are acceptable by the…

Q: Three

A: Exponential smoothing Exponential smoothing use the formula as given below to forecast for time…

Q: There are two general methods to forecasting:Even, what is their meaning?

A: The organization's forecasting is critical. External forces are used to forecast, and a few…

Q: Distinguish between the following types of forecasts:c. Causal versus naive

A: Forecasting is the process of identifying the demand accurately for future production planning and…

Q: Rhonda Clark, a Slippery Rock, Pennsylvania, realestate developer, has devised a regression model to…

A: a) y = 13473 +37.65(1860) =$83502

Q: Differentiate between Regression and Correlation Analysis?

A: The differences between correlation analysis and regression analysis is given below: Correlation…

Q: Refer to the following null hypothesis formulated by a restaurant manager who wanted to investigate…

A: Multiple regression is a statistical technique that can be used to analyze the relationship between…

Q: Which one of the methods is most accurate (Exponential smoothing or 3 month moving average) based on…

A: Straightforward Moving Average strategy In light of figure results utilizing MAD, Simple Moving…

Q: What is the first-order smoothing and trend adjusted smoothing?

A: Smoothing data is the term which described as the one that removes the variation as well as states…

Q: Square

A: What is a Least Squares Regression Line?

Q: What are some of the common Business Statistics used in Excell for Hospitality Management?

A: Hospitality management includes administering the regulatory assignments of a lodging or resort.…

Q: (d) Fit a multiple linear regression model with an interaction term to these data. (e) Estimate o…

A: given,

Q: Obtain the trend projection with regression forecast for weeks 10 - 13. (Enter your responses…

A: To compare the fits of various forecasting and smoothing approaches, we must employ the MAPE, MAD,…

Q: a) Forecast the number of disk drives to be made next year, using linear regression. b) Compute the…

A: Use the fax machine data to model the relationship between cumulative fax machines produced and…

Q: Multiple linear regression Classification tree Logistic regression

A: It makes use of ancient facts to are expecting destiny events. There are many different sorts of…

Q: A cracker manufacturer wants to know how a new cracker she wants to make compares to the…

A: Experimental studies Experimental studies refer to the studies where the researchers launch the…

Q: Room registrations in the Toronto Towers Plaza Hotel have been recorded for the past 9 years. To…

A: Solution The regression equation is given by…

Q: The difference between a moving-average model and anexponential smoothing model is that_____.

A: Moving average and exponential smoothing are forecasting methods that use historical data to make…

Q: 8. In Regression Discontinuity framework, the cutoff is defined as the level of the assignment…

A: "Since you have asked multiple questions we will solve the first question for you. If you want any…

Q: Cross-Sectional Regression Analysis WasteTec is a large construction company that specializesin the…

A: TPD Cost Commerce 360 59369 Hudson Falls 400 77013 Layton 420 50405 Oxford Township 450…

Q: High-Low; Analysis of Regression Results Regression analysis is commonly used to estimatecosts.…

A: The estimation of cost refers to the project cost having to identify the component values. The cost…

Q: The H.W. Grant Corporation used regression analysis to predict the annual cost of indirect…

A: Given data:

Q: Compare and contrast the four approaches to judgmental forecasting.

A: The four approaches to judgemental forecasting are :

Q: c) What is the MSE? 4.16 Refer to Solved Problem 4.1 on page 144. a) Using the trend-projection…

A: First, we calculate the slope and intercept by using the formulas below.

Q: Zagat’s publishes restaurant ratings for various locations in the United States. The file…

A: The technique used by the organization to evaluate the linking variables is known as regression…

Q: Chart and Regression analysis : What does the intercept predict? X: C16 (number of cars on the…

A: Given Information: X = Number of cars on the sales lot Y = Cars sold per day Equation: y = 2.9x +…

Q: Explain how is the moving average equivalent to exponential smoothing

A: Moving approaches of smoothing and exponential average:

Q: I obtained a ridge regression model by k-fold cross-validation using cv_glmnet in R. I need to…

A: Below is the solution:-

Q: Which of the following are characteristics of qualitative forecasting methods? |- It is a function…

A: A qualitative method is a subjective method in which research is performed by considering the…

Q: The following data come from regression line projections: Compute the MAD and MSE.

Q: Discuss how the coefficient of determination and the coefficient of correlation are related and how…

A: The intensity as well as direction of a linear connection between two variables (x and y) is indeed…

Q: In comparison to causal techniques, what are the fundamental assumptions when utilizing predictive…

A: When forecasting time series, the following fundamental assumptions must be made:

Q: (i) Obtain the trend projection with regression forecast.

A: The answer is as below:

Concept explainers

Forecasting

Forecasting is a methodology that uses historical data as inputs to make well-informed predictions about the course of future trends. Forecasting is the method of making forecasts based on historical and current data, most commonly by trend analysis. In the business world, forecasting is a basic statistical task. Forecasting is used by businesses to decide how to allocate their budgets or prepare for expected expenditures in the future. Forecasts help managers formulate and execute production plans by providing forecasts. The primary goal of forecasting is to make accurate predictions.

Question

What are the various Assumptions of Distributed Lag regression Model? Explain in detail?

Expert Solution

Step 1

The method of polynomial distributed lags can be used with cubic or even higher-order polynomials as well. The higher the order of the polynomial, the less “smooth” the lag distribution is allowed to be and the more parameters must be estimated.

Step by step

Solved in 2 steps

Knowledge Booster

Learn more about

Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, operations-management and related others by exploring similar questions and additional content below.

Similar questions

The owner of a restaurant in Bloomington, Indiana, has recorded sales data for the past 19 years. He has also recorded data on potentially relevant variables. The data are listed in the file P13_17.xlsx. a. Estimate a simple regression equation involving annual sales (the dependent variable) and the size of the population residing within 10 miles of the restaurant (the explanatory variable). Interpret R-square for this regression. b. Add another explanatory variableannual advertising expendituresto the regression equation in part a. Estimate and interpret this expanded equation. How does the R-square value for this multiple regression equation compare to that of the simple regression equation estimated in part a? Explain any difference between the two R-square values. How can you use the adjusted R-squares for a comparison of the two equations? c. Add one more explanatory variable to the multiple regression equation estimated in part b. In particular, estimate and interpret the coefficients of a multiple regression equation that includes the previous years advertising expenditure. How does the inclusion of this third explanatory variable affect the R-square, compared to the corresponding values for the equation of part b? Explain any changes in this value. What does the adjusted R-square for the new equation tell you?
The Baker Company wants to develop a budget to predict how overhead costs vary with activity levels. Management is trying to decide whether direct labor hours (DLH) or units produced is the better measure of activity for the firm. Monthly data for the preceding 24 months appear in the file P13_40.xlsx. Use regression analysis to determine which measure, DLH or Units (or both), should be used for the budget. How would the regression equation be used to obtain the budget for the firms overhead costs?
Do the sales prices of houses in a given community vary systematically with their sizes (as measured in square feet)? Answer this question by estimating a simple regression equation where the sales price of the house is the dependent variable, and the size of the house is the explanatory variable. Use the sample data given in P13_06.xlsx. Interpret your estimated equation, the associated R-square value, and the associated standard error of estimate.
Differentiate between Regression and Correlation Analysis?
. What are the advantages and disadvantages of Regression Model, Econometric Model, Driving Indicator Models?
What is Regression? Explain Logistic Regression?
what are the Descriptive Statistics, Ordinal Scale and Dichotomous Variable? What are the differences among them?
Describe the Nonlinear and Multiple Regression Analysis?
Develop Linear Regression Model. Forecast sales for 8, 14 and 17 years of education. Sales(1000s) Years of Education 24 10 18 9 20 11 22 6 26 13 23 16 21 18
In comparison to causal techniques, what are the fundamental assumptions when utilizing predictive time series techniques?
what is the standardized regression? what do the standardized regression weights or coefficients tell us about the ability of the predictors to predict the dependent variable?
What are the basic assumptions in contrast to causal techniques when using predictive time series techniques?