You have a monthly time series of toy sales, with an upward trend and obvious spikes in the last two months of each year. Which of the following will likely provide goodforecasts?O a. Holt's exponential smoothing method, provided that optimal smoothing constants are used.O b. Regression with time itself and dummy variables for 11 of the 12 months.O . The moving averages method, provided that the span is at least 12.O d. None of these choices are likely to provide accurate forecasts.

Answered: You have a monthly time series of toy…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A vocational counselor uses the number of days without employment to predict her clients' feelings of self efficacy, measured on a scale of 1 to 5, with higher numbers meaning that clients feel more secure in their job related abilities. The slope of the regression line is –1.02. Which statement is the best interpretation for this finding? a. For every 1-point increase in self-efficacy, there is an associated decrease in the number of days of unemployment. b. For every additional day of unemployment, there is an associated decrease in self-efficacy of 1.02 points. c. The least number of days a person can be unemployed and still feel self-efficacious is 3.98 points d. The decrease in self-efficacy of 1.02 points is caused by each additional day of unemployment
The following is a 7-month-demand-history for a certain product. Assuming that linear trend appears, develop the equation of regression line. Round values of coefficients to two decimal places. Use the equation to prepare a forecast for December 2004.
3. Life ExpectancyWe have considered a regression equation to predict life expectancy from percent of government expenditure on health care, using data for a sample of 50 countries in SampCountries. Using technology and this dataset, find a 95% prediction interval for each of the following situations. (a) A country which puts only 3% of its expenditure into health care. Round your answers to one decimal place. (b) A country which puts 10% of its expenditure into health care. Round your answers to two decimal places. (c) A country which puts 50% of its expenditure into health care. Round your answers to two decimal places. Country Health LifeExpectancy Iceland 15.76 83.1 Kazakhstan 10.90 70.5 Lesotho 14.48 49.3 Uzbekistan 9.68 68.2 Peru 14.75 74.8 Iraq 5.99 69.5 Nicaragua 20.89 74.8 Zambia 12.57 58.1 Guinea-Bissau 7.79 54.3 Romania 12.17 74.5 United States 20.71 78.8 Sierra Leone 11.41 45.6 Malta 13.29 80.7 Luxembourg 13.64 81.8 Micronesia, Fed. Sts.…
Twenty members of an athletic club are studying the relationship between the time it takes an individual athlete to reach a given level of fatigue during exercise (time to fatigue, measured in minutes) and athletic performance. For each member, time to fatigue and a performance score were recorded. The computer output of the regression analysis is shown in the table. Term CoefCoef SE CoefSE Coef TT Constant 39.88 4.24 9.41 Time to fatigue 3.92 0.71 5.52 Which of the following is a 90 percent confidence interval for the slope of the regression line relating performance score and time to fatigue? Assume that the conditions for inference are met.
In the section we introduced a descriptive measure of the utility of the multiple linear regression for making predictions. a. Define and interpret this descriptive measure. b. Identify the symbol used for this descriptive measure.
What would be the simple linear regression (trend projection) forecast for week 4 and for week 53 for Small Town Restaurant (see file) if the regression equation for our data is: y = 3061.7 + 0.2364x ? Provide two decimal places and use normal rounding.
Consider the following linear regression prediction equation: Y = 12 + -1x. What is the direction of the relationship between these two variables? a. The relationship between the observed X and the predicted Y is negative. b. The relationship between the observed X and the predicted Y is positive. c. There is no relationship between the observed X and the predicated Y. d. There is a weak relationship between the observed X and the predicted Y with no direction.
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Q6. The outcome variable in a linear regression is best measured on which of the following scales? a. Categorical B. Continuous C. Ordinal D. None of the above
Q2 The two "experienced" operation managers have resisted the introduction of a computerized linear regression forecasting system, claiming that their current forecasting tool is "much better than any impersonal computer could do". Table Q2 shows the weekly demand for the previous period. Perform the following: (1) Develop a linear regression model using the actual demand, and make four(4)-week forecast of production; (ii) Determine the mean square error and standard error of the forecast developed in section (i) Table Q2 Actual Week Demand 1 3,000 2 4,400 3 4,200 4 3,100
A Moving to another questiof! Question 27 ry .dock Provide an appropriate response. In order for applicants to work for the foreign-service department, they must take a test in the language of the country where they plan to work. The data below shows the relationship between the number of years that applicants have studied a particular language and the grades they received on the proficiency exam. Find the equation of the regression line for the given data. DOCK tigation n.Lab Number of years, x Grades on test, y O - 6.910x- 46.261 reen Shot --05...3.58 PM O = 46.261x + 6.910 O = 46.261x -6.910 O - 6,910x + 46.261 Sterling's Daily Food Log.pdt W A Moving to another question will save this response. arling's lntakeS Question 27 of 28 > Goals Ans and Outs of Energy (1).docx Screen Shot 22-059.03 AM Screen 2022-05 AM Screen Shot x 2022-05.9.31 AM 2022-05.0.09 Screen Sho

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