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(a) Homicide and suicide are both intentional means of ending a life. However, the reason for committing a homicide is different from that for suicide, and we might expect homicide and suicide rates to be uncorrelated. On the other hand, both can involve some degree of violence, so perhaps we might expect some level of correlation in the rates. The data from 2008-2011 for 26 counties in Ohio. Rates are per 100,000 people is given in the table Homicide SuicideCounty Rate Homicide Suicide County Rate Rate Rate Allen 3.8 9.9 Lorain 3.6 15.6 Ashtabula 15.5 Lucas 7.6 Butler 2.7 12.8 Mahoning 10.6 11.4 Clermont 16.0 Medina 0.0 Clark 5.4 13.6 Miami 9.6 Columbiana 3.4 15.2 Montgomery 15.5 Cuyahoga 10.0 9.8 Portage 11.9 Delawane Stark 4.8 Franklin 8.8 11.3 Summit 4.9 11.5 Greene 2.7 11.3 Trumbull 6.8 16.1 Hamiltorn 10.7 Warren 9.6 Lake 1.8 12.9 Wayne 10.8 Licking 4.0 13.2 Wood 8.4 To access the complete data set, click the link for your preferred software format Excel Minitab JMP SPSS TI R Mac-TXT PC-TXT CSV CrunchIt! (a) Using the software of your choice make a scatterplot of the data. What is the correlation between homicide rate and suicide rate from 2008-2011 for the 26 counties in Ohio in the table shown? (Enter your answer rounded to three decimal places.)(a) Using the software of your choice make a scatterplot of the data. What is the correlation between homicide rate and suicide rate from 2008-2011 for the 26 counties in Ohio in the table shown? (Enter your answer rounded to three decimal places.) r= (b) Using the software of your choice make a scatterplot of the data with one new point added. Point A: homicide rate 30, suicide rate 30. Find the new correlation for the original data plus Point A. (Enter your answer rounded to three decimal places.) (c) Using the software of your choice, make a scatterplot of the data with a different new point added. Point B: homicide rate 10, suicide rate 5.5. Find the new correlation for the original data plus Point B. (Enter your answer rounded to three decimal places.) (d) By looking at your plot, explain why adding Point A makes the correlation stronger (closer to 1) and adding Point B makes the correlation weaker (closer to 0) linear association because, when is included, the points of the Point A strengthens the scatterplot seem to actually have a Meanwhile, Point B (at the lower right of the graph) relationship (your eye is drawn to that point in the upper right) the pattern, the association

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Answer #1

a) from excel correl function:

Correlation coefficient =0.170

b)

with point A:

Correlation coefficient =0.746

c)

with point B:

Correlation coefficient =-0.017

d) please provide filler option for this .

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