Question

Help ??

Answer 1

@soprano.h.d0816

Answer 2

with what?

Answer 3

@Photon336

Answer 4

Yeah this is comparing temperature to the number of cups sold.

Answer 5

So for part A right where do you see the most points on the graph?

Answer 6

Wait so for part a was i right ?

Answer 7

Well as the temperature goes up you can see the number of cups goes down, but there are multiple points here but it's not exactly linear. You could draw a line of best fit for the data @whpalmer4 thoughts?

Answer 8

@MissMeow

Answer 9

@love_life

Answer 10

@chiaxpizza

Answer 11

I'm not there yet in FLVS. Sorry. :(

Answer 12

I'm in mod, 5

Answer 13

@Imverytired

Answer 14

@retirEEd please help! :)

Answer 15

@ParthKohli

Answer 16

@Qwertty123

Answer 17

Yes! Hello?

Answer 18

HELP??????????

Answer 19

Got it! :)

Answer 20

Um.. which part do you need help on?

Answer 21

Part B

Answer 22

@Qwertty123 u there?

Answer 23

Sorry, I am being distracted!

Answer 24

Okay so do you know what the line of best fit is?

Answer 25

Unfortunately Part A is incorrect. Please refer to Proton336 answer

Photon336
Well as the temperature goes up you can see the number of cups goes down, but there are multiple points here but it's not exactly linear. You could draw a line of best fit for the data @whpalmer4 thoughts?

Answer 26

@Qwertty123 The line of best fit is the line that goes thru multiple points in the direction the points seem to be going

Answer 27

@Qwertty123

Answer 28

yes you are right! Okay know describe the line of best fit for that graph!

Answer 29

Here is a graph of the data (points in red) with a least-squares fit line showing the overall trend.

Answer 30

A least-squares fit is a line that attempts to minimize the sum of the squares of the distance from each point to the line of best fit. The equation found from the data here is \[y = 20.9444 - 0.122222x\]

When doing this sort of analysis by hand, one tactic for seeing the general trend is to try to draw a line from left to right which has as many data points above it as below it.