1) Reading a Correlation Matrix: This correlation matrix table below involves seven different continuous measures related to crime - as a researcher, we are trying to figure out how crime rates are correlated to six various factors related to personal traits and community influences (Personal Education Level, Personal Internet Use, Poverty Rate in local area, Personal Income Level, Teen Birthrate in local area & Unemployment Rate in the local area). Using this data in the table below please answer the following questions.... A) Is there a significant relationship between the crime rate & a person's education level? What is the strength of this relationship? Does this mean that more educated people are more or less likely to commit crimes? Please explain using the data above. (3 Points) B) Is there a significant relationship between the crime rate and how much a person uses the internet? What is the strength of this relationship? Are people who use the internet more likely to commit crime, less likely to commit crime, or is there no effect? (3 Points) C) Is there a significant relationship between crime rate and the local poverty level? What is the strength of this relationship? Are crime rates higher in poverty areas, lower in poverty areas, or is there no effect? (3 Points) 2) Conducting a t-test of significance for Pearson's r: A researcher seeks to know if there is any relationship between reading the newspaper and reading political blogs on the Internet. Data from the study found a Pearson's r = .284 after sampling 625 people.?a) State the research and null hypotheses. (2 Points) H1: H0: b) Calculate the t-test statistic. (3 Points) c) Assuming a critical value of 1.96, make a decision (to reject or not reject the null) & interpret what this result means. (2 Points) d) Do people who read the newspaper read more or less political blogs than those who do not read the newspaper? Explain your answer (2 Points) e) What is the strength of the relationship the likelihood of reading the newspaper and reading a political blog? Explain your answer (2 Points)

Income Unemploy Crime Educa Using Inter Poverty Teen Rate tion net Births ment Crime Rate Pearson Correlation $418() 269 375(" 358() 541() .153 Sig. (2-ta led) 002 D53 1007 011 288 N 50 50 150 50 150 50 50 Education Pearson Comelation 630(") 8021 5841' .678(") 506() Sig. (2-tailed) 002 DOO 1000 000 N 50 50 50 50 50 50 Using Internet Pearson Correlation 269 630(#) .7090 -139 Sig .(2-tailed) 069 000 000 000 357 N 50 50 50 50 50 50 Poverty Pearson Correlation 375(") .802() 659() -.731("') 783(") .169 Sig. (2-talied) 1007 000 DOO 1000 241 N 50 150 50 50 50 50 50 Income Pearson Comelation - 358(" 584(") 709(") 731(") 7371") .143 Sig. (2-tailed) .011 1000 000 322 N 50 50 50 50 50 50 Teen Births Pearson Correlation 541(" ) -6781 -618() 783(") 737() 025 Sig. (2-taied) 000 DOO 1000 DOO 863 N 150 150 50 150 150 Unemployment Pearson Comelation .153 - 5061") 4133 169 143 125 Sig. (2-tailed) 208 1000 357 241 322 683 N 50 60 50 50 50 50 50 " Correlation is significant at the 0.01 level (2-tailed) " Correlation Is significant at the 0 05 level (2-tailed)