Suppose you decide to forecast a data series four periods ahead (forecast horizon equals four). In conducting a within sample forecast assessment you compare the forecast using simple trend (FCAST1) and quadratic trend (FCAST2). Using the actual values of the series (ACTUAL) and the forecast information below, calculate the root mean squared error for each forecasting model and comment on which one should be used. ACTUAL FCAST1 FCAST2 10 10 8. 10 20 13 20 30 26 40 40 47

Suppose you decide to forecast a data series four periods ahead (forecast horizon equals four). In conducting a within sample forecast assessment you compare the forecast using simple trend (FCAST1) and quadratic trend (FCAST2). Using the actual values of the series (ACTUAL) and the forecast information below, calculate the root mean squared error for each forecasting model and comment on which one should be used. ACTUAL FCAST1 FCAST2 10 10 8. 10 20 13 20 30 26 40 40 47

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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The accompanying table shows the earnings per share (in dollars) and the dividends per share (in dollars) for 6 companies in a recent year. Complete parts (a) through (d) below. Click here to view the data table. Click here to view the table of critical values for the Pearson correlation coefficient. (a) Display the data in a scatter plot. Choose the correct.graph below. OA. OB. В. Oc. OD. 3- 9- Q Q 2- 6- 6- 3- 3- 04 3. Eamings per share (S) Eamings per share ($) 0. Eamings per share (S) Eamings per share (S) (b) Calculate the sample correlation coefficient r. - X Data Table (Round to three decimal places as needed.) (c) Describe the type of correlation, if any, and interpret the correlation in the context of the data. Earnings per share, x Dividends per share, y O 1.36 1 There is V linear correlation. 4.3 0.59 3.56 8.27 1.74 2.47 Interpret the correlation. Choose the correct answer below. 1.19 0.67 1.6 2.82 O A. Increases in companies' eamings per share cause their dividends per share…
The problem below looks at forecasting methodologies to determine which forecasting model results in the most accurate forecasts. Accuracy is determined by the lowest mean absolute deviation. Emergency calls to the 911 system of York County for the past 24 weeks are shown below. Accurate forecasts are needed to determine the number of operators needed to staff the station. Week # of Calls 1 50 2 35 3 25 4 40 5 45 6 35 7 20 8 30 9 35 10 20 11 15 12 40 13 55 14 35 15 25 16 55 17 55 18 40 19 35 20 60 21 75 22 50 23 40 24 65 SIMPLE LINEAR REGRESSION Use all of the data, weeks 1 - 24, to calculate the regression equation for this data. Use the weeks (1-24) as the independent variable (x) and number of calls as the dependent variable (y). Once you have the equation, forecast weeks 4 through 24 (enter 4, 5, 6, etc. as the x…
A statistical program is recommended. You may need to use this table to answer this question. A study investigated the relationship between audit delay (Delay), the length of time from a company's fiscal year-end to the date of the auditor's report, and variables that describe the client and the auditor. Some of the independent variables that were included in this study follow. Industry Public Quality Finished 62 45 A sample of 40 companies provided the following data. 54 Delay Industry Public Quality 71 91 62 61 2 69 80 52 47 65 60 81 73 89 71 76 68 68 86 76 67 57 55 54 69 82 94 74 75 69 71 79 80 91 92 46 A dummy variable coded 1 if the firm was an industrial company or 0 if the firm was a bank, savings and loan, or insurance company. 72 A dummy variable coded 1 if the company was traded on an organized exchange or over the counter; otherwise coded 0. 85 A measure of overall quality of internal controls, as judged by the auditor, on a five-point scale ranging from "virtually none" (1)…
otected View - Saved to this PC Search View Help 12. The city council is considering a law that would ban smoking in all public facilities. A sample has been selected from the community and tested for of the ordinance. Is there a statistically significant relationship between age and support for the anti-smoking law? Use the five step model as a guide and write a sentence or two interpreting your results. support Age More than 40 Less than 40 Support: For 145 78 223 Against 103 248 169 247 272 495 A. Use probabilities to determine if these two variable are independent or dependent P (Less than 40) 3D P(Less than 40 | For)= P(Less than 40| Against) = Are age and support for the anti-smoking law independent? (Yes independent/No = not independent) B. Conduct a hypothesis test using an alpha of .05 that these variables are i
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The full question for the last question is written down below Fail/fail to reject H0. There is insufficient/sufficient evidence at the 10% level of significance to support the claim that there is a linear relationship between weight and number of hours slept.
2 part question done in Excel. 1. Data are collected in a clinical trial evaluating a new compound designed to improve wound healing in trauma patients. The new compound is compared against a placebo. After treatment for 5 days with the new compound or placebo, the extent of the wound healing is measured and the date are show in the table below. Is there a difference in the extent of wound healing by treatment (Hint: Are treatment and the percent wound healing independent?) Run the appropriate tes at a 5% level of significance. 2. Use the data in Problem 1 and pool the data across the treatments into one sample of size n=250. Use the pooled data to test whether the distribution of the percent wound healing is approximately normal. Specifically, use the following distributions: 30%, 40%, 20%, and 10%. Run the appropriate test at a = 0.05.