Brainliest! 1. you suspect that the spiciness of food served in a restaurant is positively correlated with number of soft drinks 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. observe several cases of people ordering food of varying spice-levels and number of soft drinks ordered. 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. 2. given the data set for the height and shoe size of every student in a math class, hypothesize a relationship between the variables. i would expect the data to be positively correlated. i would expect the data to be negatively correlated. i would expect no correlation. there is not enough information to determine correlation.

Answers: 
Question 1: B. Observe several cases of people ordering food of varying spice-levels and number of soft drinks ordered.
Question 2: B. I would expect the data to be positively correlated.

Explanations:
Question 1: 
When you are gathering and assembling data, like any mathematical or scientific process you need to gather all the data first, which is stated in action B. If you read through all the answers you would complete them in this order:
B. Observe several cases of people ordering food of varying spice-levels and number of soft drinks ordered.
A. Plot all data together on a dot plot to assess if there is any visible correlation between the data sets.
C. Pick two points on the dot plot and find a line of best fit.
D. Find the correlation coefficient to see how well the line of best fit actually fits the data. 

Question 2: This one is a bit tricky, since there is a bit of logic needed and can be a trick question if you aren't careful.
If you think about it, taller people generally have bigger feet, and smaller people have smaller feet, which would mean that the x and y values of the dots on your graph would get larger or smaller in coordination with themselves. (Meaning that a plot for a 6 foot tall person with a size 12 shoe would be (6, 12) or (12, 6) and a shorter person with a smaller size foot could be (5, 8) or (8, 5).) This is relevant because if you graphed those points both would be increasing in a positive manner, making the correlation positive, regardless of which value was on which axis. 

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