Preventing suicide is a important issue facing mental health workers. Predicting geographic regions where the risk of suicide is high could help people decide where to increase or improve mental health resources and care. Some psychiatrists have argued that homicide and suicide may have some causes in common. If so, one would expect homicide and suicide rates to be correlated. And if this is true, areas with high rates of homicide might be predicted to have high rates of suicide and therefore be in need of increased mental health resources. Research has had mixed results, including some evidence that there is a positive correlation in certain European countries but not in the United States. Here are data from 2015 for the 11 counties in Ohio with sufficient data for homicides and suicides to allow for estimating rates for both. Rates are per 100,000 people. County Homicide Rate Suicide Rate Butler a= Clark b = Cuyahoga Franklin Hamilton. Lorain Lucas: Mahoning Montgomery Stark Summit 4.0 10.8 12.2 8.7 10.2 3.3 6.0 11.7 8.9 5.8 7.1 11.2 15.3 11.4 12.3 11.0 14.3 12.6 15.2 15.7 16.1 To access the data, click the link for your preferred software format. CSV Excel (xls) Excel (xlsx) JMP Mac-Text Minitab14-18 Minitab18+ PC-Text R SPSS TI CrunchIt! 17.9 Make a scatterplot that shows how suicide rate can be predicted from homicide rate. There is a weak linear relationship, with correlation r = -0.0645. Find the least-squares regression line for predicting suicide rate from homicide rate, suicide rate = a + bx (homicide rate). Add this line to your scatterplot. Give your answers to three decimal places.

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Preventing suicide is a important issue facing mental health workers. Predicting geographic regions where the risk of suicide
is high could help people decide where to increase or improve mental health resources and care. Some psychiatrists have
argued that homicide and suicide may have some causes in common. If so, one would expect homicide and suicide rates to be
correlated. And if this is true, areas with high rates of homicide might be predicted to have high rates of suicide and therefore
be in need of increased mental health resources. Research has had mixed results, including some evidence that there is a
positive correlation in certain European countries but not in the United States. Here are data from 2015 for the 11 counties in
Ohio with sufficient data for homicides and suicides to allow for estimating rates for both. Rates are per 100,000 people.
County
Homicide Rate Suicide Rate
Butler
a=
Clark
b =
Cuyahoga
Franklin
Hamilton.
Lorain
Lucas:
Mahoning
Montgomery
Stark
Summit
4.0
10.8
12.2
8.7
10.2
3.3
6.0
11.7
8.9
5.8
7.1
11.2
15.3
11.4
12.3
11.0
14.3
12.6
15.2
15.7
16.1
To access the data, click the link for your preferred software format.
CSV Excel (xls) Excel (xlsx) JMP Mac-Text Minitab14-18 Minitab18+ PC-Text R SPSS TI CrunchIt!
17.9
Make a scatterplot that shows how suicide rate can be predicted from homicide rate. There is a weak linear relationship, with
correlation r = -0.0645. Find the least-squares regression line for predicting suicide rate from homicide rate,
suicide rate = a + bx (homicide rate). Add this line to your scatterplot. Give your answers to three decimal places.
Transcribed Image Text:Preventing suicide is a important issue facing mental health workers. Predicting geographic regions where the risk of suicide is high could help people decide where to increase or improve mental health resources and care. Some psychiatrists have argued that homicide and suicide may have some causes in common. If so, one would expect homicide and suicide rates to be correlated. And if this is true, areas with high rates of homicide might be predicted to have high rates of suicide and therefore be in need of increased mental health resources. Research has had mixed results, including some evidence that there is a positive correlation in certain European countries but not in the United States. Here are data from 2015 for the 11 counties in Ohio with sufficient data for homicides and suicides to allow for estimating rates for both. Rates are per 100,000 people. County Homicide Rate Suicide Rate Butler a= Clark b = Cuyahoga Franklin Hamilton. Lorain Lucas: Mahoning Montgomery Stark Summit 4.0 10.8 12.2 8.7 10.2 3.3 6.0 11.7 8.9 5.8 7.1 11.2 15.3 11.4 12.3 11.0 14.3 12.6 15.2 15.7 16.1 To access the data, click the link for your preferred software format. CSV Excel (xls) Excel (xlsx) JMP Mac-Text Minitab14-18 Minitab18+ PC-Text R SPSS TI CrunchIt! 17.9 Make a scatterplot that shows how suicide rate can be predicted from homicide rate. There is a weak linear relationship, with correlation r = -0.0645. Find the least-squares regression line for predicting suicide rate from homicide rate, suicide rate = a + bx (homicide rate). Add this line to your scatterplot. Give your answers to three decimal places.
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