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. you have also plotted the data and found a line of best fit. what would be your next steps to test your hypothesis? (1 point)

a. plot all data together on a dot plot to assess if there is any visible correlation between the data sets.
b. offer a conclusion based on the data you observed.
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.

I think the answer is D

Step-by-step explanation:

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

Answer with explanation:

Description of a restaurant in which food and cold drink is correlated

1. Positive Correlation between Spiciness of food and number of soft drinks ordered.

2. Gathered information about , people ordering food of different spice-levels and the number of soft drinks they ordered.

3. Then Plotted data and fund the line of best fit.

Now, a line of best fit is the line which passes through a single point , no point or most of the points of data set.

After getting the line of best fit, find correlation coefficient between two lines, to check whether the information about the restaurant that whether there is a positive correlation between two variables that is  food of different spice-levels and the number of soft drinks they ordered is true or not.

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

To find the line of best fit, multiply y intercept and slope of line ,then find it's square root ,to get correlation coefficient.As, -1 ≤ correlation coefficent≤1. So if positive that ,means the information is true.

hello! just here for points! though i wish i knew!