Statzzzzz
ill help if you become fan plzzzzzzz
it's not D
can i get medal
and I'll help you without you fanning me.
well i did lol
ill bet my moms a teacher in this stuff
let's take these choices one by one
do you know what an influential point is?
she is smarten than youll ever be so shetup your gonna make her fail so leave you nerd
yes, it is a point that effects the regression line dramatically
my mom is teacher
ok. What about the second choice?
i promise plz believe me
do you know what an outlier is?
yes, it is a point that deviates from the general average of the data set, and has little to no effect on the slope of the regression line
she helps me she goes to aiken high south carolina searfch it up and search in staff jennifer harrison
ok. so an outlier, because it deviates from the general average of a data set, will drastically chance the correlation coefficient r, right?
yes
screw this when she fails ill laugh
but the correlation coefficient in the problem changes only by .01 right? so it's not an outlier. @gamingreborninme , would you please stop spamming? You have literally not contributed anything until now and you're making it hard for @INEEDHELPNOWPLZ
true, but wouldnt a influential point do the same?
well, let's talk abou tthat later... since it seems like a confusing answer
do you know what a residual is?
yes it is e
close. It's the difference of the observed from the expected
as in it's the difference between what you actually have (observed) and what the line predicts
yah
and what's an extrapolation?
I dont know, out teacher never taught us
an extrapolation is a guess outside of the bounds of your data using your model. This can't be the right answer because you are talking about an actual observed point (not a predicted value by your model)
oh ok
so the answer is the residual
careful lol
a point can't be a residual. A residual is just the difference between your observed and expected values
it's not a predicted y value either because you're looking at an actual observed data point
oh yah
sorry to lead you on a long goose chase, but the only valid answer is the first one.
so by default its e
oh the first one?
Yes. your correlation coefficient tells you how much your model fits with your data. because the correlation coefficietn went up that means that your point was actually a valid piont on your model
furthermore it significantly changed the slope of your regression line.
therefore by definition it is an influential point.
ok cool thnxs
you're welcome :)
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