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Exploring Bivariate Data Videos 5 videos

AP Statistics 2.4 Exploring Data
304 Views

AP Statistics: Exploring Data Drill 2, Problem 4. This coefficient shows a relationship of...what?

AP Statistics 2.5 Exploring Data
178 Views

AP Statistics 2.5 Exploring Data. Which of the following is an example of bivariate categorical data?

AP Statistics 4.3 Exploring Data
174 Views

AP Statistics 4.3 Exploring Data. We would love it if our linear correlation coefficient were what?

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AP Statistics 4.3 Exploring Data 174 Views


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AP Statistics 4.3 Exploring Data. We would love it if our linear correlation coefficient were what?

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Transcript

00:00

Thank you We sneak and here's your smoked You sure

00:05

Brought to you by the gym where you could burn

00:07

three hundred calories on the treadmill and then order a

00:10

four hundred calorie protein shake in the smoothie bar of

00:13

progress All right in a perfect world we would be

00:16

able to do is little work as possible and still

00:18

get awesome results if we draw a scatter plot of

00:21

the relationship between the number of hours we spend at

00:23

the gym in our cardiovascular health we'd love it if

00:27

our linear correlation coefficient were what and hear the potential

00:32

answers All right here It would be nice if you

00:35

could totally understand all these concepts that watching a single

00:37

one of our videos Well sadly we don't live in

00:39

that world You're gonna have to put up with the

00:41

work It's okay though uh feels good when your brain

00:44

sweats Just be sure your wife down your skull all

00:47

right She was questions asking about linear correlation coefficient that

00:51

our stuff it wants to know what number we'd ideally

00:54

be looking for if we wantto barely break a sweat

00:58

while we're getting our ticker into tiptop shape But really

01:01

this is just about knowing what a linear correlation coefficient

01:04

tells us All right Well if it's a positive number

01:07

we need to know that there's a positive correlation and

01:10

if it's a negative number we should know that the

01:11

correlations negative so far so easy Well we want the

01:15

most game by putting in the least effort so we're

01:18

looking for a negative correlation So his showers options a

01:23

b and e it comes down to other r equals

01:25

negative one are our equals negative point three and we

01:29

can't really see how it could be the second one

01:31

Usually when dealing with perfect or ideal anything in mathematics

01:35

it's all or nothing it's gonna come out the one

01:37

zero or negative one and never seem totally random number

01:40

like negative point three plus the correlation coefficient of negative

01:44

point three isn't the most reliable things Sure sometimes that'll

01:47

work in our favor and less effort will lead to

01:49

better help But sometimes a data point oh jiggle away

01:51

from that perfect linear downward trend and we'd actually be

01:54

healthier if we exercise a little more so yeah no

01:57

thanks Anyway the answer is c honestly as good as

02:00

it sounds wouldn't we miss the sense of accomplishment that

02:03

comes from working hard in achieving our goals Wait trade

02:06

all that in for a second in an ice cream

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