1. Crime rates usually are positively related to population density. Thus you expect that ________. a. higher population density is associated with lower crime rates b. high population density areas would have low crime rates c. higher population density is associated with higher crime rates d. population density and crime rate are not related
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.
1. Crime rates usually are positively related to population density. Thus you expect that ________.
a. higher population density is associated with lower crime rates
b. high population density areas would have low crime rates
c. higher population density is associated with higher crime rates
d. population density and crime rate are not related
2. Find the value of the linear
| x | 19.3 | 23.4 | 10.3 | 17.7 | 23.2 |
| y | 6 | 2 | 3 | 3 | 3 |
3. The paired data below consist of the test scores of 6 randomly selected students and the number of hours they studied for the test.
| Hours | 5 | 10 | 4 | 6 | 10 | 9 |
| Score | 64 | 86 | 69 | 86 | 59 | 87 |
4. The value of r may lie within an interval of values
a. 0.00 to -1.00
b. -1.00 to +1.00
c. 0.00 to +10.00
d. -10.00 to 0.00
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