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# Criminal Justice And Criminology (Statistics) In The United States MCQ

### Y Intercept is a value of y in an ordinary least-squares (OLS) regression equation when x is equal to _____

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### Slope is a term in an ordinary least-squares (OLS) regression equation that indicates the change in y associated with a one-unit change in _____

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### _____ is a graphical display of the linear relationship between two interval/ratio-level variables.

Correct Answer: Both a and b

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### Difference between the predicted value of y from the regression equation and the observed value at a given x score is known as Residual.

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### Regression Line depicts the relationship between independent and _____ variables determined by an ordinary least-squares regression equation.

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### Value of the dependent variable predicted by a regression equation is known as _____

Correct Answer: Predicted Value of y

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### According to positive Correlation,as the independent variable increases, the dependent variable_____.

Correct Answer: Both a and c

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### Pearson’s Correlation Coefficient is a statistic that quantifies the direction and strength of the relationship between two _____ -level variables.

Correct Answer: Both a and b

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### Nonlinear relationships can take several forms but generally indicate a relationship that changes direction as the values of the independent variable______.

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### As the independent variable increases, the _____ variable decreases, it is called Negative Correlation.

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### The effect of x on y is generally _____ at all values of x.

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### Least Squares Regression Line is a regression line based on the least-squares function to calculate an equation that characterizes the best-fitting line between two _____ variables.

Correct Answer: Both a and b

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### Assumption in ordinary least-squares (OLS) regression that the error terms are varied across all values of x is known as Homoscedasticity.

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### Means of y calculated for every value of x is known as conditional Mean of y.

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### Coefficient Of Determination is the percentage of the variation in the dependent variable (y) that is explained by the _____ variable.

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