Find the eigenvalues λ1<λ2 and associated unit eigenvectors u⃗ 1,u⃗ 2 of the symmetric matrix A=[48816]. The smaller eigenvalue λ1= 0 has associated unit eigenvector u⃗ 1= ⎡⎣⎢⎢ 1 -0.5 ⎤⎦⎥⎥. The larger eigenvalue λ2= 20 has associated unit eigenvector u⃗ 2= ⎡⎣⎢⎢ 1 2 ⎤⎦⎥⎥. Note: The eigenvectors above form an orthonormal eigenbasis for A.

() (98 points)to be fair, you have to have a very high iq to understant the jokes in rick and morty. the humour is extremely subtle, and without a solid grasp of theoretical physics most of the jokes will go over a typical viewer's head. there's also rick's nihilistic outlook, which is deftly woven into his characterisation- his personal philosophy draws heavily from narodnaya volya literature, for instance. the fans understand this stuff; they have the intellectual capacity to truly appreciate the depths of these jokes, to realise that they're not just funny- they say something deep about life. as a consequence people who dislike rick & morty truly are idiots- of course they wouldn't appreciate, for instance, the humour in rick's existential catchphrase "wubba lubba dub dub," which itself is a cryptic reference to turgenev's russian epic fathers and sons. i'm smirking right now just imagining one of those addlepated simpletons scratching their heads in confusion as dan harmon's genius wit unfolds itself on their television screens. what fools.. how i pity them. and yes, by the way, i do have a rick & morty tattoo. and no, you cannot see it. it's for the ladies' eyes only- and even then they have to demonstrate that they're within 5 iq points of my own (preferably lower) beforehand. nothin personnel kid

Which function is odd check all that apply a. y=sin x b. y=csc x c. y=cot x d. y=sec x

11. minitab software was used to find the lsrl for a study between x=age and y=days after arthroscopic shoulder surgery until an athlete could return to their sport. use the output to determine the prediction model and correlation between these two variables. predictor coef se coef t p constant -5.054 4.355 -1.16 0.279 age 0.2715 0.1427 1.9 0.094 r-sq = 31.16%