Q3. Let the given data set be as followsTimeGDP (In crore)20202202152022Based on the above information, answer the following questions.i.ii.Fit the regression model by using the matrix method as GDP, a+pGDP +&Find the estimated error term.Forecast the GDP for the year 2023.ソーダ12

Step 1: Set Up the MatricesWe have the following data:Year202020212022t123GDPt256The model…

Answered: Q3. Let the given data set be as…

ENGR.ECONOMIC ANALYSIS

14th Edition

ISBN:9780190931919

Author:NEWNAN

Publisher:NEWNAN

Chapter1: Making Economics Decisions

Section: Chapter Questions

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HDI vs GNI formula to create scatterplot
Table 8 Amounts of New Solar Power Installed in the United States Amount of New Solar Power Installed Year (megawatts) 2006 2007 105 160 2008 290 2009 435 2010 878 2011 1891 3300 2012 Source: GTM Research If the model is given by: y 2.73(1.80)*, what is the growth rate? O the growth rate is 273%. O The growth rate is 80%. O can not be determined from the equation. O The growth rate is 73% O The growth rate is 180%. 99+ a
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Question 2 For each of the following variables, indicate whether the data are time series or cross-sectional. v Spending on household goods recorded monthly. A. time series v The annual percentage change in the population of Houston recorded over the last 10 B. cross-sectional years. v The percentage of adults 25-40 who report using online bil payment methods. v The number of students at a university who use the on-campus health and recreation center each day, recorded over a semester. Revenue for the month of August in 2016 for all Starbucks locations in the Houston area. v A data set created today by a credit card bank showing the total spending of each of its customers for the last three months.
MULTIPLE CHOICE Let yt = 12.50 be the natural logarithm of Real GDP in year t. Suppose that gt = 12.45 is the trend for yt in year t. Then: (1) the cyclical component of Real GDP in year t is 5%. (2) the cyclical component of Real GDP in year t is −5%. (3) the cyclical component of Real GDP in year t is 0.05%. (4) the cyclical component of Real GDP in year t is −0.05%.
Please tell me what are the correct awnser for the following questions 11)12) they are multiple choice and unrelated questions to each other please tell me only which ones are correct Thank you Please see the attached picture has the graph which needs to be analysed to awnser question 12. 11 The UK GDP per capita measures: Select one or more: a. the total output of London’s economy. b. the average disposable income of a UK national. c. the total output of the UK nationals, divided by the number of the nationals. d. the total output of the UK’s economy, divided by the country’s population. 12 Look at this graph of real wage index in England between 1260 and 1800. Consider also that, in the bubonic plague of 1348 and 1351, between one quarter and one third of Europe’s population died. (SEE ATTACHED PICTURE) Select one or more: a. According to the Malthusian model, the fall in the population due to the bubonic plague would have led to an increase in the average…
Suppose you are presented with the results of optimised WES and HES forecasts on quarterly GDP data, original and seasonally adjusted respectively. The plots and optimised RMSE values are below.* 20000 19000 18000 17000 Jun-2014 Australian GDP per capita in $AU seasonally adjusted Jun-2015 Jun-2016 GDP per capita RMSE for HES model: 63.92, RMSE for WES model: 165.62 Which is a valid conclusion from this information? Jun-2017 Forecast [Press CTRL and "-" to see the whole table by reducing the font size. Press CTRL and "+" to restore the font size] Jun-2018 *Data is from the Australian Bureau of Statistics, catalogue number 5206.0, table 1. O a. The graphs indicate both models fit the data reasonably, with some higher deviation between June 2016 and June 2017. O b. The RMSE values are too large and neither model provides a good forecast in this instance. O c. The graphs indicate neither model fits the data reasonably, and different models should be used. O d. The HES is a better model to…

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