Bivariate fit of happiness

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 the letter with its meaning. average of a value in data set actual p-hat population proportion intercept an lsrl slope lslr y bar often used represent random y-hat sample predicted iria seta stationary distribution m-state markov chain is probability vector q such where transition matrix. have more than one distribution. identify all distributions you for matrix o owl does this steady-state pointsproblem points x0 x2 . state space s="{1," has following graph: provide fer chain. determine recurrent and transient states>