What is the causal effect of gun control on life expectancy? b. What potential sources of bias might there be in the regression model?
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
I ran these regressions in SAS but don't know how to interpret them.
1a. What is the causal effect of gun control on life expectancy?
b. What potential sources of bias might there be in the regression model?
![Table 1. Life expectancy and gun control laws
Means
Regression
With gun
Without gun
Difference
OLS
control law
control law
[1]
[2]
[3]
[4]
A. Dependent variable
(intercept)
89.74
Life expectancy
79.567
77.957
-1.610
B. Controls
Median income
54.043
47.201
-6.843
-0.0199
Uninsured
13.186
14.990
1.8043
0.0459
Smoke
17.148
19.423
2.276
-0.2220
Obesity
26.429
28.500
2.071
-0.1266
Teen Birth
28.305
38.370
10.065
-0.0782
Metro
84.311
66.793
-17.518
-0.0156
Gun law
1.000
0.000
1.000
0.4845
1 a. What is the causal effect of gun control laws on life expectancy?
b. What potential issues might there be with this regression model (ie. Potential sources of bias) ? Be
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