question archive If the city council wanted to determine why crime rates were lower in some neighborhoods rather than others, what statistical process would be most appropriate? 1) A hypothesis test with a null hypothesis that the number of points earned is more than the average crime rate 2) A hypothesis test with a null hypothesis that the crime rate is less than or equal to the average crime rate 3) Regression with crime rates as the dependent variable 4) Use a confidence interval with points with expected crime rates as the mean 5) Regression with crime rates as the independent variable
If the city council wanted to determine why crime rates were lower in some neighborhoods rather than others, what statistical process would be most appropriate? 1) A hypothesis test with a null hypothesis that the number of points earned is more than the average crime rate 2) A hypothesis test with a null hypothesis that the crime rate is less than or equal to the average crime rate 3) Regression with crime rates as the dependent variable 4) Use a confidence interval with points with expected crime rates as the mean 5) Regression with crime rates as the independent variable
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If the city council wanted to determine why crime rates were lower in some neighborhoods rather than others, what statistical process would be most appropriate?
1) A hypothesis test with a null hypothesis that the number of points earned is more than the average crime rate
2) A hypothesis test with a null hypothesis that the crime rate is less than or equal to the average crime rate
3) Regression with crime rates as the dependent variable
4) Use a confidence interval with points with expected crime rates as the mean
5) Regression with crime rates as the independent variable
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Answer:
In this case, city council wants to determine factors influencing the crime rate. So crime should be dependent variable and factors influencing it should be independent variable. Regression analysis can be performed to find about factors influencing crime rate.
Correct option is:
3) Regression with crime rates as the dependent variable
