The process in which policy is created through the combined efforts of interest groups, a state agency, and a legislative committee is

Does this sound good? hey great britain, we need to talk. we’ve been through a lot these past couple of years and i don’t think that i would’ve made it this far without you but, i think it’s time that i tried to. don’t get me wrong, i think you’re a pretty great country! you’re smart, you’re funny, you're rich, and very dominant but, these past couple of years you’ve been a little too dominant. as each year goes by you become more and more self-absorbed. you’re only concerned about your own well-being. for example, when we get into arguments you always raise the taxes on paper and tea prices; it just isn’t fair. not only are you selfish but, you always want your buddies around. it’s not very fun cleaning up after you and your british soldiers (you guys never put the toilet seat down). they’re always popping up unexpected, and you always force me to let them stay for a couple of days. not to mention how irresponsible you are. i don’t like it when you force some of your responsibility on me. it’s not my fault that you got yourself into another war so, why should i have to pay for it? listen, in the beginning, what we had was good but, you and i aren’t so compatible anymore. i think it’s best if i took some time to be independent and think for myself for once. -yours truly, the states

Which are components pf a political party? why do we need political parties give reason.

Match the item to the definition: indirect correlation, correlational research, correlational research, covary, pearson correlation coefficient, pearson correlation coefficient, direct correlation a. used to describe the relationship between two or more naturally occurring variables b. determines whether scores on the two variables covary c. whether two variables vary or change together d. denoted by the symbol "r" e. provides information about the sign (direction) and magnitude(strength) of the linear relationship. f. when the correlation is positiveg. when the correlation is negative