Brainliest Opportunity for those who took APUSH!

After they make styrofoam, what do they ship it in? before they invented drawing boards, what did they go back to? do infants enjoy infancy as much as adults enjoy adultery? why do irons have a setting for permanent press? how can you tell when sour cream goes bad? how much sin can i get away with and still go to heaven? how young can you die of old age? can you be arrested for selling illegal-sized paper? if all the nations in the world are in debt, where did all the money go? if work is so terrific, how come they have to pay you to do it? if the number 2 pencil is the most popular, why is it still number 2? if you ate pasta and anti-pasta, would you still be hungry? if you try to fail, and succeed, which have you done? if you steal a clean slate, does it go on your record? if you were going to shoot a mime, would you use a silencer? if you're born again, do you have two belly buttons? what if there were no hypothetical situations? where would we be without rhetorical questions? will your answer to this question be no? if man evolved from monkeys and apes, why are there still monkeys and apes? if a man is standing in the middle of the forest speaking and there is no woman around to hear him, is he still wrong? is there another word for synonym? isn't it a bit unnerving that doctors call what they do "practice? " could crop circles be the work of a cereal killer? if you choke a smurf, what color will it turn?

Most small cars a. more power than larger cars b. the same power as larger cars c. less power than larger cars

Researchers are conducting a study in an attempt to establish a linear relationship between the number of online music video views and the number of guitar sales. a computer output for regression is shown and is based on a sample of seven observations. predictor coeff st. dev t ratio p-value constant 7.85671094 1.316226455 5.969118 0.001889 music video views 0.094781123 0.027926367 3.393965 0.019378 what represents the 99% confidence interval for the slope of the regression line? 0.0948 ± 3.499(1.3162) 0.0948 ± 4.032(1.3162) 0.0948 ± 3.707(0.0279) 0.0948 ± 4.032(0.0279)