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?

APlot all data together on a dot plot to assess if there is any visible correlation between the data sets.
BObserve several cases of people ordering food of varying spice-levels and number of soft drinks ordered.
CPick two points on the dot plot and find a line of best fit.
DFind the correlation coefficient to see how well the line of best fit actually fits the data.

Positive correlation is a relationship between two entities, where they are dependent on each other. If one entity decreases, the other also decreases, or when one entity increases the other also increases.

Here, we can say that option B is correct.

Observe several cases of people ordering food of varying spice-levels and number of soft drinks ordered. We can say if the food is very spicy people tend to drink something with it. So, this is absolutely true. As the level of spice increases, the number of soft drinks ordered also increases.

We can put all the given options in step by step procedure.

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.