Bivariate distribution

It is 0.831999 Bivariate Fit of Happiness By LifeExpectancy Happiness un 40 45 50 55 60 65 70 80 85 LifeExpectancy Bivariate Normal Ellipse P=0950 Bivariate Normal Ellipse P=0990 Bivariate Normal Ellipse P=0.950 Variable Mean Std Dev Correlation Signit. Prob Number LifeExpectancy 67.83646 11.04193 0.631999 <.0001 happiness bivariate normal ellipse p="0.990" variable mean std dev correlation signit. prob number lifeexpectancy can we conclude that being happier causes people to live longer explain. pts costa rica has the highest index. if it were removed from data would become stronger weaker or remain same explain what this tell us about rica. click tap here enter text.match letter with its meaning. average of a value in set actual p-hat population proportion intercept an lsrl slope lslr y bar often used represent random y-hat sample predicted iria set2. markov chain transitions al- ai- ni- let x1 be distributed uniformly over states transition matrix thus i pu j e is information source stationary find distribution entropy rate>