Complete the following in regard to the footlength and height categories of the data set:

Below, explicitly state the slope of your trend line and discuss what the value of the slope signifies in terms of this context. Using the predicition equation from part bi. above, predict the height of an individual whose footlength is 22.45 cm.Using the predicition equation from part bi. above, predict the height of an individual whose footlength is 22.45 cm.Using the predicition equation from part bi. above, predict the height of an individual whose footlength is 22.45 cm.Using the predicition equation from part bi. above, predict the height of an individual whose footlength is 22.45 cm.Using the predicition equation from part bi. above, predict the height of an individual whose footlength is 22.45 cm.

a. In the region to the right, produce a scatterplot of the height versus footlength data (remember this means footlength runs along the horizontal axis as the independent variable and height along the vertical axis as the dependent variable.) Based upon your scatterplot, briefly discuss below your thoughts on whether the visual trend between the individuals footlength and height appears linear, curvilinear, or has no general trend at all.

b. Complete the following:

Include the trend line's graph and equation on the scatterplot created in part a. Give the line's equation below and explain within this context what the "x" and "y" variables represent in the equation.

Below, explicitly state the slope of your trend line and discuss what the value of the slope signifies in terms of this context.

c. Determine the value of the correlation coefficient for this paired data. Explain what this value tells you and determine if it implies that there is/is not statistically significant correlation between the two variables of height and footlength. (Recall the need to use table A:6 from the text in answering the last portion of this question.)

Using the predicition equation from part bi. above, predict the height of an individual whose footlength is 22.45 cm.

Finally, critique the statement since the correlation coefficient is statistically significant then this means that having a long foot causes one to be tall. Specifically, address the issue of causation in relation to significant statistical correlation.

Foot Length (cm)	Height (cm)
25.5	185.5
29	180.5
22	152
28	180
42	172.5
23.5	165
23.5	174
29	185.4
27	178.5
25	167.98
26.5	183
28	192.5
23	170
29	167
24	164
25.6	170.5
23.5	157.5
29	180.5
26.8	185
26.5	183
22	157
24.1	175.3
29	180.5
29	172.7
22	160
22	136.0
23	157.5
26	175.5
18.5	161.5
22	162.5
24	160.0
24	160.0
24	162.6
22.5	129.5
27	182.0
24.5	171.0
25.4	154.9
28	172.5
27	148.0
25.5	170.0
24.1	162.5
24.5	174.0
22	160.5
22	162.5
28	180.5
27.5	183.0
27.5	175.0
27	170.0
30.5	185.0
23	162.5
27	173.0
30.5	183.0
25.5	166
23	169.5
27	180.0
25.5	168.5
25	167.5
24	162.0
22.5	165.0
25.4	182.0
24.1	157.5
26	182.9
24.5	162.0
29	180.5
29	163.0
25.5	170.5
24	160
25	165.5
24	152.4
29	180.5
26	179.5
24	175.5
23	162
24.5	165
22	160