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?

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.

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. You have also plotted the data and found a line of best fit. What would be your next steps to test your hypothesis?


 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.

anonymous · Answer

C?

mathmale · Answer

Why not try justifying your choice of C?  It might also be helpful / useful to justify your elimination of the other two choices.

anonymous · Answer

I was about to do that, @mathmale  should I show the thought process or show her when she needs it

anonymous · Answer

i got it never mind, thanks anyways it is C

mathmale · Answer

Yes:  the correlation coeff. tells us how one variable is associated mathematically with another variable, and as such is a way of checking one's hypothesis about such correlation.