Question: The paper How Lead Exposure Relates to Temporal Changes in IQ, Violent Crime, and Unwed Pregnancy (Environmental Research [2000]: 122) investigated whether childhood lead exposure
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because the highest number of assaults are committed by people in their early twenties, and 23 years earlier would represent a time when those in this age group were infants. A least-squares regression line was used to describe the relationship between assault rate and lead exposure 23 years prior. Summary statistics given in the paper are intercept: 24.08 slope 327.41 r2 0.89 Use the information provided to answer the following questions.
a. What is the value of the correlation coefficient for x = lead exposure 23 years prior and y = assault rate? Interpret this value. Is it reasonable to conclude that increased lead exposure is the cause of increased assault rates? Explain.
b. What is the equation of the least-squares regression line? Use the line to predict assault rate in a year in which gasoline lead exposure 23 years prior was 0.5 tons per 1000 people.
c. What proportion of year-to-year variability in assault rates can be explained by the relationship between assault rate and gasoline lead exposure 23 years earlier?
d. The graph below appeared in the paper. Note that this is not a scatterplot of the (x, y) pairsit is two separate time series plots. The time scale 1941, 1942, p, 1986 is the time scale used for the lead exposure data and the time scale 1964, 1965, 2009 is used for the assault rate data. Also note that at the time the graph was constructed, assault rate data was only available through 1997. Spend a few minutes thinking about the information contained in this graph and then briefly explain what aspect of this graph accounts for the reported positive correlation between assault rate and lead exposure 23 years prior.
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a r 089 0943 Note that r is 0943 rather than 0943 since the slope of the leastsquares line is positi... View full answer
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