. Perform a regression on the relationship between the property crime rate (CRS48) as predicted by the percent of the population of a state that is living below the poverty level (PVS519).
Regression Coefficient B for PVS519 __-105.42_______
Significance ____.002_____
Is the relationship significant? _____yes____
R Square _____.186____
In your own words, describe the relationship between CRS48 and PVS519. How would you explain these findings?
Since the regression coefficient B for PVS519 has negative sign , it indicates that there is negative relationship between the CRS48 and PVS519.
Using P-value i.e. significance=0.002 < 0.01, indicates that this relationship is statistically significant.
R-square=0.186 indicates that 18.6 percent of variation in CRS48 is explained by PVS519.
. Perform a regression on the relationship between the property crime rate (CRS48) as predicted by...
Using bellow information the hypothesis that states with large African American populations receive lower educational funding than predominantly White states. EDS137 (Per Capita State and Local Gvt Spending for Education: 2007) and DMS468 (Percent of Population Black: 2008). Regression Coefficient B for DMS468 ___-2.365______ Significance level ____.651_____ Is the relationship significant? ____NO_____ R Square ____.004_____ In your own words, describe the relationship between EDS137 and DMS468. How would you explain these findings?
A recent analysis of data for the 50 U.S. States on crime found the regression equation y=209.9+27.2xy=209.9+27.2x, where xx is the poverty rate and yy is the violent crime rate (measured as number of violent crimes per 100,000 people in the state). Interpret the slope of this line. Interpret the y-intercept of this line. Does this make sense in context of the problem? The state poverty rates ranged from 8.3 (Hawaii) to 27.2 (Mississippi). Over this range, find the range...
Sociology/Criminology/Economics: Records comparing unemployment rates and property crime rates (per 1,000) were gathered in a state for the years 1975 - 2005 (n = 31). Below is the scatterplot, regression line, and corresponding statistics for these 31 years. Property Crime -vs- Unemployment x = Unemployment Rate (in %) y = Property Crime Rate (in crimes per 1,000 people) correlation coefficient: r = 0.8140 regression equation: ŷ = 2.59x + 28.8 sample size: n = 31 Answer the following questions...
For a sample of 20 New England cities, a sociologist studies the crime rate in each city (crimes per 100,000 residents) as a function of its poverty rate (in %) and its median income (in $1,000s). A portion of the regression results is shown in the accompanying table. Use Table 2 and Table 4. ANOVA df SS MS F Significance F Regression 2 2,517.3 1,258.6 7.49E-01 Residual 17 72,837.53 4,284.56 Total 19 75,354.80 Coefficients...
For a sample of 20 New England cities, a sociologist studies the crime rate in each city (crimes per 100,000 residents) as a function of its poverty rate (in %) and its median income (in $1,000s). A portion of the regression results is as follows. [You may find it useful to reference the t table.) F 0.05 ANOVA Regression Residual Total M S 229.2 4,464.56 Significance F 0.950 df SS 2 458.3 17 75,897.54 1976,355.9 Intercept Poverty Income Coefficients 754.4596...
Sociology/Criminology/Economics: Records
comparing unemployment rates and property crime rates (per 1,000)
were gathered in a state for the years 1975 - 2005 (n =
31). Below is the scatterplot, regression line, and corresponding
statistics for these 31 years.
Property Crime -vs- Unemployment
x = Unemployment Rate (in %)
y = Property Crime Rate (in crimes per 1,000 people)
correlation coefficient:
r = 0.859
regression equation:
ŷ = 2.86x + 24.9
sample size:
n = 31
Answer the following questions...
Simple Linear regression
1. A researcher uses a simple linear regression to measure the relationship between the monthly salary (Salary measured in dollars) of data scientists and the number of years since being awarded a Master degree (Master Degree). A random sample of 80 observations was collected for the analysis. A researcher used the econometric model which has the following specification Salary,-β0 + β, Master-Degree, + εί, where i = 1, , 80 The (incomplete) Excel output of equation (1)...
Lets that that you are interested in neighborhood crime rates and you think that poverty should lead to higher crime rates. List at least three rival explanations that you would include in your empirical analysis. Briefly explain why you would include these. Now lets say that we randomly selected 15 neighborhoods and captured their crime rates, levels of poverty, and police presence. Using the data answer the following questions: a. Is the relationship between crime and poverty statistically significant? b....
only answer (c)please
2 Short Answer Solve the following problems and answer concisely. 2.1 Guns and Crime (15 points) The following regression table shows the estimation results studying the relationship between guns and crime rates in the United States (5) Violet (1) Los violent -0.000 0.05) (2) Log violent -0.2156 100 (6) Lagrobbery) -0.1276 (4) log violet) Logi t) -0.1436 0.0165) 10.12) 0.1259 0.00211 0056) 0.001) Concealed Carry law -02179 incarceration rate 0.0519 log incarceration rate 2.95 (17.68) percent male...
A sociologist examines the relationship between the poverty rate and several socioeconomic factors. For the 50 states and the District of Columbia (5) he collects data on the poverty rately, in the percent of the population with at least a high school education (4), median incomex.in $1000s), and the mortality rate per 1.000 residents) He estimates the following model as - PoEducation income Mortality. The following ANOVA table shows a portion of the regression results SS MS 1391 F 946...