PLEASE AHELP WITH AP STATS QUIZ!! The computer output from a set of data and a transformed set of data are below. Which LSRL is a better fit? Explain. (2 points)

Regression 1 is a better fit because r-squared is farther from 1 than r-squared in regression 2.
Regression 2 is a better fit because r-squared is closer to 1 than r-squared in regression 1.
Regression 2 is a better fit because the intercept is positive.
Regression 1 is a better fit because the intercept is farther away from zero than the intercept in regression 2.
Unable to determine which is a better fit.

the answer is d

the answer is in the first quadrant, which make the y-int positive.

since the dots are going down, therefore the correlation is negative

i hope it is right.

describing distributions is one of the key skills you’ll need to earn a high score on the ap statistics exam. if you need proof of this, just flip through some past exam questions, which can be found at the collegeboard website. you’ll notice that the first free response question is almost always a question requiring you to look at a graph and describe it.

step-by-step explanation: just trying to get points sorry : (