Question

You suspect that the spiciness of food served in a restaurant is positively correlated with number of soft drinks ordered. You have gathered several observations of people ordering food of different spice-levels and the number of soft drinks they ordered. What would be your next steps to test your hypothesis?

Plot all data together on a dot plot to assess if there is any visible correlation between the data sets.

Offer a conclusion based on the data you observed.

Pick two points on the dot plot and find a line of best fit.

Find the correlation coefficient to see how well the line of best fit actually fits the data.

Answer 1

@Compassionate @ganeshie8 @

Answer 2

@khurramshahzad @kirbykirby @DangerousJesse

Answer 3

i know its not A or D

Answer 4

It says "What are the next stepSSS" plural, so are

Answer 5

u supposed to pick more than 1 answer?

Answer 6

no theres only suppost to one answer sadly lol

Answer 7

And C can never be right. You can't find a line of best fit from data from 2 data points and drawing a line through them, unless your data shows PERFECT correlation

Answer 8

right so pretty much it's "B" correct :)

Answer 9

I would go with A . You can't jump to a conclusion if you haven't even plotted/analyzed your data

Answer 10

Usually the first thing you do when you gather data is to do some plot

Answer 11

right sorry about tht i didnt mean to jump to conclusion but pretty positive it couldnt be a or d

Answer 12

Well offering a conclusion means you finished analyzing the data.. this should be the last step in your process

Answer 13

So I would cross out B right away

Answer 14

ok

Answer 15

but yeah as I said. With A... you are doing a visual inspection of your data. This is what you usually do as a first step. It should give you a clue to see if you have a positive correlation or not. Then, you could try fitting a line of best fit and see if the correlation is significant or not. And then form a conclusion about what yo

Answer 16

you have analyzed*

Answer 17

oh ok