Algebra I? Statistics? Correlation and Causation?
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.
@undeadknight26 @zale101 @texaschic101 @agent0smith @ranga @Twitchie @tHe_FiZiCx99
Hun, I know you love me and all... But I'm not a miracle worker with Algebra xD I can't help.
@tester97 @dmezzullo @ganeshie8 help ;-;
@tkhunny
Personally, I'd plot the data and have a look at it. This may discourage the theory or add new insights before we get too deep into the investigation.
Yes. My first step would be to plot the data points and take a look at it. If the data points are all over the place and there is no obvious straight line (with positive slope for positive correlation), quadratic or even exponential fit possible then one can conclude there is no correlation. But if there is you proceed to find the best regression line/curve for the given data points. Does you question ask for STEPS (plural) or just the next step? If it is just the next step, it stops at plotting the data.
Thank you both. c:
You are welcome.
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