Complete given in regard to foot length and armspan categories of data set:

a) In region to right, make a scatter plot of armspan versus foot length data (remember this means foot length runs along horizontal axis as independent variable and armspan beside vertical axis as dependent variable.)  Based on your scatter plot, briefly explain below your thoughts on whether "visual" trend between individuals' armspan and foot length seems linear, curvilinear, or has no discernable trend at all. 

b) Complete the following:

i) Include trend line's graph and equation on scatter plot created in part a.  Provide line's equation below and describe within this context what "x" and "y" variables represent in equation.

ii) Below, explicitly state slope of your trend line and describe what value of slope signifies in terms of this context. 

c) Find out the value of correlation coefficient for this paired data.  Describe what this value tells you and find out if it implies that there is/is not statistically important correlation between two variables of armspan and foot length.

d) Using predication equation from part bi. Above, forecast the armspan of an individual whose foot length is 26.5 cm.

e) At last, critique statement "since correlation coefficient is statistically significant" then this means that "having large foot causes one to have a long armspan," specially, address issue of "causation" in relation to significant statistical correlation.