EntityYearLife expectancyUnited States197572.333Saint Barthlemy197466.992Brazil199267.141Germany196570.364British Virgin Islands201378.096Belgium201080.072Moldova197065.045Namibia196952.163Jamaica201074.038Puerto Rico200477.16Mongolia197055.364Nigeria198346.023Egypt201571.302Dominican Republic198665.065Uruguay200976.603Turkey197454.741Tanzania201965.456American Samoa196066.187Palestine196149.888Reunion196257.371Gambia198650.577South Sudan200451.095Georgia195963.248Netherlands199677.642Macao200280.87Germany198474.074Cameroon200151.222United Kingdom201480.978Japan199880.656South Sudan200954.219Greenland198063.063Vietnam195152.262Singapore197770.828Israel198374.755Bangladesh197649.402United Arab Emirates199172.208United Kingdom199276.111Costa Rica196060.381Morocco199566.846Belgium198674.867United States201978.831The world is a constantly changing place, but in what ways is it changing? Test at an α=0.05 level, for is there a significant correlation between year and life expectancyA.)What type of test are you doing & what conditions are need to be for that test?Whats the Null and Alternative hypothesis?State the P-value = _________Conclusion of what the results imply about the potential relationship between year and life expectancy.B.) part 1Find the regression equation and use it to predict the life expectancy in 2019.B.) part 2The last data point is that the United States had a life expectancy of 78.831 years in the year 2019. Using your answer from the B. part 1. and this data point, what is the residual for the United States in 2019?

Provided information is, Data of year and life expectancy is given. The correlation coefficient…

Answered: The world is a constantly changing…

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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Entity	Year	Life expectancy
United States	1975	72.333
Saint Barthlemy	1974	66.992
Brazil	1992	67.141
Germany	1965	70.364
British Virgin Islands	2013	78.096
Belgium	2010	80.072
Moldova	1970	65.045
Namibia	1969	52.163
Jamaica	2010	74.038
Puerto Rico	2004	77.16
Mongolia	1970	55.364
Nigeria	1983	46.023
Egypt	2015	71.302
Dominican Republic	1986	65.065
Uruguay	2009	76.603
Turkey	1974	54.741
Tanzania	2019	65.456
American Samoa	1960	66.187
Palestine	1961	49.888
Reunion	1962	57.371
Gambia	1986	50.577
South Sudan	2004	51.095
Georgia	1959	63.248
Netherlands	1996	77.642
Macao	2002	80.87
Germany	1984	74.074
Cameroon	2001	51.222
United Kingdom	2014	80.978
Japan	1998	80.656
South Sudan	2009	54.219
Greenland	1980	63.063
Vietnam	1951	52.262
Singapore	1977	70.828
Israel	1983	74.755
Bangladesh	1976	49.402
United Arab Emirates	1991	72.208
United Kingdom	1992	76.111
Costa Rica	1960	60.381
Morocco	1995	66.846
Belgium	1986	74.867
United States	2019	78.831

The world is a constantly changing place, but in what ways is it changing?
Test at an α=0.05 level, for is there a significant correlation between year and life expectancy

A.)
What type of test are you doing & what conditions are need to be for that test?
Whats the Null and Alternative hypothesis?
State the P-value = _________
Conclusion of what the results imply about the potential relationship between year and life expectancy.

B.) part 1
Find the regression equation and use it to predict the life expectancy in 2019.

B.) part 2
The last data point is that the United States had a life expectancy of 78.831 years in the year 2019. Using your answer from the B. part 1. and this data point, what is the residual for the United States in 2019?

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