Assignment attached below

Relation between GDP and Education Budget
Introduction
In this study we want to see the relationship between GDP and education budget. GDP (Gross Domestic Product) is the monetary value of goods and services of a country with in specified time period and education budget is the money spent by a country on education with in that specified time. Calculation of GDP is of three types; uses income, expenditure and production and includes all government and private sectors. GDP play an important role for policy maker, investor and business strategies. It represents the growth and economic condition of a country. Education is the most important factor for a country which makes the future and present of a country. Improvements in the education have many factors out of which education budget is the most important factor for a country. Therefore, this study wants to know the effect of GDP on education budget.
Literature Review
Various studies have taken place on the GDP and some factors related to education. A study in Bangladesh represent that Education expenditure and GDP have a nice relationship from 1976 to 2003 (Islam et al. 2007). Expenditure of public on education promotes the Moroccan and Tunisian GDP (Ifa and Guetat, 2018). Some other recent work is also done on GDP with different factors (Huang and Cheng, 2010; Khodabakhshi, 2011; Rahman, 2011).
Data
Data is taken from the site “https://datahub.io/core/usa-education-budget-analysis” . It has information on the GDP and education budget from 1976 to 2016. USA take the calculation on GDP annually. Some countries take this information quarterly. In this data set information on the budget is also given annually. Both the variables are measured in million dollars. Following is the table of data.

Table 1: Data on GDP and Education budget, USA
    Year
    Education budget
    GDP
    1976
    9314
    1877587
    1977
    10568
    2085951
    1978
    11625
    2356571
    1979
    13996
    2632143
    1980
    15209
    2862505
    1981
    16752
    3210956
    1982
    15374
    3344991
    1983
    15267
    3638137
    1984
    15336
    4040693
    1985
    18952
    4346734
    1986
    17750
    4590155
    1987
    19475
    4870217
    1988
    20098
    5252629
    1989
    22819
    5657693
    1990
    24549
    5979589
    1991
    27360
    6174043
    1993
    31324
    6878718
    1992
    28685
    6539299
    1994
    26881
    7308755
    1995
    32245
    7664060
    1996
    29097
    8100201
    1997
    33519
    8608515
    1998
    35298
    9089168
    1999
    33643
    9660624
    2000
    31816
    10284779
    2001
    39734
    10621824
    2002
    55838
    10977514
    2003
    63001
    11510670
    2004
    67161
    12274928
    2005
    74476
    13093726
    2006
    100019
    13855888
    2007
    68265
    14477635
    2008
    65399
    14718582
    2009
    131891
    14418739
    2010
    62911
    14964372
    2011
    43628
    15517926
    2012
    57458
    16155255
    2013
    39495
    16691517
    2014
    55200
    17393103
    2015
    87258
    18120714
    2016
    76977
    18624475
Statistical Analysis
Statistical analysis has been done on R (4.1.0). Firstly we want to see the behaviour of variables...