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Imagine you wish to determine the effects of neighborhood watch programs on neighborhood crime rates. You hypothesize that the more time people spend patrolling their neighborhoods, the less crime there should be as a result. So, you gather data from a representative sample of 50 neighborhoods that have neighborhood watches in 2005. For a six-month period (January 1, 2005 through June 30, 2005) you record the number of hours citizens spend patrolling their neighborhoods. You also gather UCR data from the city police departments to compute a neighborhood crime rate for the six-months following (July 1, 2005 through December 31, 2005) patrol data collection. The number of citizens that make up each neighborhood watch is an important control variable ("Size of Watch"), since larger watches should be able to spend more time patrolling, so you gather this information as well. Here are the results of the correlation matrix: Here are the regression results when the model is run with only the independent variable: Regression Resultsa Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) .728 2.164 2.951 .025 Hours Patrolled -.152 .319 -.165 -1.567 .032 a. Dependent Variable: Property Crime Rate R-square = 0.15 Here are the regression results when the model is run with the control variable added: Regression Resultsa Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 2 (Constant) .728 2.898 3.041 .003 Hours Patrolled -.176 .495 -.163 -2.567 .057 Size of Watch .418 .635 .003 .028 .004 a. Dependent Variable: Property Crime Rate R-square = 0.31 Based on these results, what percentage of the variance was explained in the second model?

OK last question in the term 2PQ of the hardy Weinberg equation why is the multiplication by two necessary?

Which types of organizations would be interested in inpatient census data? Group of answer choices outpatient facility acute care facility home health agency ambulatory surgery center

cultural disparity in healthcare

Based on these results, is there a spurious relationship between the independent and dependent variables? (Yes/No)

probability of the lottery tickets 1 in 3.47 how many tickets should I buy

Researchers collect data on two variables, the country of origin and religion of their subjects. There are 5 countries and 3 religions in the study. The researchers run a chi-square test of association between country and religion. What are the correct hypotheses for this test? Question 1 options: H?: The distributions of country and religion are t-distributions vs. H?: The distributions of country and religion are not t-distributions. H?: For the population, the country of origin and religion are not associated vs. H?: For the population, the country of origin and religion are associated. H?: For the population, the country of origin and religion are associated vs. H?: For the population, the country of origin and religion are not associated. H?: For the sample, the country of origin and religion are associated vs. H?: For the sample, the country of origin and religion are not associated.

A group of 16 men and 24 women have hypertension. Express the ratio of men with hypertension to women with hypertension. Reduce the ratio to its simplest form. Group of answer choices 2:3 8:12 16:22 4:6

uestion: 6 of 150 Time Elapsed: 00:22:29 Pause Remaining: 08:20:00 A nurse on a medical-surgical unit is caring for a client prior to a surgical procedure. Which of the following findings should indicate to the nurse that the client has the ability to sign the informed consent? The client's partner tells the nurse that the client understands the procedure. The client is able to accurately describe the upcoming procedure. The nurse witnesses the provider's explanation of the procedure. The nurse locates the provider's prescription for the surgical procedure.

For children or teens who face similar life challenges to Chamique Holdsclaw's, what do you think could make their outcomes different?