1.2. What kind of data is given in the table above.1.3. Do you expect a positive or negative relationship betweenvariables?1.4. Make a scatter plot of the GDP per capita and exports inExcel and interpret the graph1.5. Estimate the following simple regression between GDP percapita and export using EXCEL and interpret the results, (.The data is available in excel in Moodle.1.6. Comment on the direction of the relationship between thevariables from the regression. Is it what you expected?1.7. Test the hypothesis that is 0 at 5% level of significance.1.8. Test the hypothesis that is 30 at 5% level of significance1.9. The export share in 2019 is 58.16 in (as shown in the table).What is the predicted GDP per capita if the export shareincreases to70%?1.10. How much of the variation in GDP per capita is explainedexports? A researcher wants to know the determinants of the GDP percapita in Oman.To help the researcher, please answer the following questions.1.1. Write down a list of one dependent and five independentvariables.The researcher downloaded the GDP per capita and Export (%of GDP) data for OMAN as given in the following table (Thedata is available in the excel file in Moodle).Time Time Code Y - GDP per capita X - Exports of goods andservices (% of GDP)1967 YR19671496.34633.762891968 YR19682643.65270.139771969 YR19693221.9874.61970 YR19703552.45673.689141971 YR19713464.16265.787371972 YR19723670.19659.3751973 YR19733027.75967.827631974 YR19743235.72273.720351975 YR19753843.28967.55041976 YR19764405.97962.331791977 YR19774221.11358.301641978 YR19783848.73958.320121979 YR19793798.2861.062421980 YR19803809.37962.659111981 YR19814216.9164.687111982 YR19824451.25158.546021983 YR19834922.32353.65161984 YR19845463.9850.280611985 YR19855949.34749.827831986 YR19865824.48139.246521987 YR19875420.34748.877941988 YR19885544.25740.00621990 YR19905730.26147.230071991 YR19915816.39343.065491992 YR19926021.19244.716891993 YR19936111.32943.051051994 YR19946122.69343.001231995 YR19956265.72744.035351996 YR19966363.11449.810191997 YR19976707.72350.036951998 YR19986878,53741.969591999 YR19996860.6948.68762000 YR20007189.59253.689042001 YR20017423.52251.70272002 YR20027216.3749.103282003 YR20036872.74149.758362004 YR20046792.59251.377922005 YR20056779.52958.279642006 YR20066951.3356.172472007 YR20077052.08356.483212008 YR20087370.14658.480412009 YR20097480.14950.636112010 YR20107413,5167.485752011 YR20116858.61672.826692012 YR20126969.32571.557572013 YR20136758.67775.378152014 YR20146492.10670.247872015 YR20156413.44457.13712016 YR20166413.10547.415352017 YR20176177.79752.35822018 YR20186073.83958.258482019 YR20195925.67858.162161.2. What kind of data is given in the table above.1.3. Do you expect a positive or negative relationship betweenvariables?1.4. Make a scatter plot of the GDP per capita and exports inExcel and interpret the graphCDD

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Description: 1.2. What kind of data is given in the table above.1.3. Do you expect a positive or negative relationship betweenvariables?1.4. Make a scatter plot of the GDP per capita and exports inExcel and interpret the graph1.5. Estimate the following simple r

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1.2. What kind of data is given in the table above. 1.3. Do you expect a positive or negative relationship between variables? 1.4. Make a scatter plot of the GDP per capita and exports in Excel and interpret the graph

1.2. What kind of data is given in the table above. 1.3. Do you expect a positive or negative relationship between variables? 1.4. Make a scatter plot of the GDP per capita and exports in Excel and interpret the graph

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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