Solve please Based on the following table of results obtained by OLS for a structural time series withlevel data. Do you think the model is good or is there a suspicion of doing a spuriousregression? in case of the latter, indicate based on what it considers to be spuriousDependent Variable: PIBMethod: Least Squares (Gauss-Newton / Marquardt steps)Date: 03/02/21 Time: 16:23Sample: 1 88Included observations: 88PIB =C(1)+C(2)*IPDCoefficientStd. Errort-StatisticProb.C(1)C(2)177.516951.666953.4357930.00091.3185080.01821872.374260.0000Mean dependent varS.D. dependent varR-squaredAdjusted R-squaredS.E. of regressionSum squared residLog likelihoodF-statisticProb(F-statistic)0.9838470.98365980.37884 Akaike info criterion3865.094628.785511.6338411.6901511.656530.815770555625.2 Schwarz criterion-509.8891Hannan-Quinn criter.5238.034 Durbin-Watson stat0.000000

Answered: Image /qna-images/answer/5e866501-8cd1-4d81-90ee-29c1b333a0be.jpg

Answered: Based on the following table of results…

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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Suppose small aircraft arrive at a certain airport according to a Poisson process with rate per hour (alpha = 8), so that the number of arrivals during a time period of t hours is a Poisson rv with parameter (u = 8t) . a. What is the probability that exactly 6 small aircraft arrive during a 1-hour period? At least 6? At least 10? b. What are the expected value and standard deviation of the number of small aircraft that arrive during a 90-min period? c. What is the probability that at least 20 small aircraft arrive during a 2.5-hour period? That at most 10 arrive during this period?
Illustrate vector autoregression (VAR) with two time series variables, Yt and Xt?
The proportion p of residents in a community who recycle has traditionally been 70%. A policy maker claims that the proportion is less than 70% now that one of the recycling centers has been relocated. If 159 out of a random sample of 230 residents in the community said they recycle, is there enough evidence to support the policymaker's claim at the 0.10 level of significance?Perform a one-tailed test. Then complete the parts below.Carry your intermediate computations to three or more decimal places. (If necessary, consult a list of formulas.) (a) State the null hypothesis H0 and the alternative hypothesis H1. H0: H1: (b) Determine the type of test statistic to use. ▼(Choose one) (c) Find the value of the test statistic. (Round to three or more decimal places.) (d) Find the p-value. (Round to three or more decimal places.) (e) Is there enough evidence to support the policy maker's claim that the proportion of residents who…
The proportion p of residents in a community who recycle has traditionally been 60% . A policy maker claims that the proportion is less than 60% now that one of the recycling centers has been relocated. If 101 out of a random sample of 200 residents in the community said they recycle, is there enough evidence to support the policy maker's claim at the 0.10 level of significance?Perform a one-tailed test. Then complete the parts below.Carry your intermediate computations to three or more decimal places. (If necessary, consult a list of formulas.) (a) State the null hypothesis H0 and the alternative hypothesis H1 . H0: H1: (b) Determine the type of test statistic to use. ▼(Choose one) (c) Find the value of the test statistic. (Round to three or more decimal places.) (d) Find the p-value. (Round to three or more decimal places.) (e) Is there enough evidence to support the policy maker's…
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The proportion p of residents in a community who recycle has traditionally been 60% . A policy maker claims that the proportion is less than 60% now that one of the recycling centers has been relocated. If 126 out of a random sample of 215 residents in the community said they recycle, is there enough evidence to support the policy maker's claim at the 0.10 level of significance? Perform a one-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places. (If necessary, consult a list of formulas.) (a) State the null hypothesis H0 and the alternative hypothesis H1 . H0: H1: (b) Determine the type of test statistic to use. ▼(Choose one) (c) Find the value of the test statistic. (Round to three or more decimal places.) (d) Find the p-value. (Round to three or more decimal places.) (e) Is there enough evidence to support the policy maker's claim that the…
The proportion p of residents in a community who recycle has traditionally been 70% . A policy maker claims that the proportion is less than 70% now that one of the recycling centers has been relocated. If 156 out of a random sample of 245 residents in the community said they recycle, is there enough evidence to support the policy maker's claim at the 0.10 level of significance? Perform a one-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places. (If necessary, consult a list of formulas.) (a) State the null hypothesis H0 and the alternative hypothesis H1 . H0: H1: (b) Determine the type of test statistic to use. ▼(Choose one) (c) Find the value of the test statistic. (Round to three or more decimal places.) (d) Find the critical value. (Round to three or more decimal places.) (e) Is there enough evidence to support the policy maker's claim…
Consider a cohort of patients receiving an experimental two-year treatment for a serious disease. Suppose that only 20% of the patients survive to the end of the second year. Assume CFM (constant force of mortality) within each year of treatment. Find the probability that a patient who survives the first four months dies by the end of the 20th month. Round to 4 decimal places.
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