Y Intercept is a value of y in an ordinary least-squares (OLS) regression equation when x is equal to _____
Answer
Correct Answer:
Zero
Note: This Question is unanswered, help us to find answer for this one
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 _____
Answer
Correct Answer:
X
Note: This Question is unanswered, help us to find answer for this one
_____ is a graphical display of the linear relationship between two interval/ratio-level variables.
Answer
Correct Answer:
Both a and b
Note: This Question is unanswered, help us to find answer for this one
Difference between the predicted value of y from the regression equation and the observed value at a given x score is known as Residual.
Answer
Correct Answer:
True
Note: This Question is unanswered, help us to find answer for this one
Regression Line depicts the relationship between independent and _____ variables determined by an ordinary least-squares regression equation.
Answer
Correct Answer:
Dependent
Note: This Question is unanswered, help us to find answer for this one
Value of the dependent variable predicted by a regression equation is known as _____
Answer
Correct Answer:
Predicted Value of y
Note: This Question is unanswered, help us to find answer for this one
According to positive Correlation,as the independent variable increases, the dependent variable_____.
Answer
Correct Answer:
Both a and c
Note: This Question is unanswered, help us to find answer for this one
Pearson’s Correlation Coefficient is a statistic that quantifies the direction and strength of the relationship between two _____ -level variables.
Answer
Correct Answer:
Both a and b
Note: This Question is unanswered, help us to find answer for this one
Nonlinear relationships can take several forms but generally indicate a relationship that changes direction as the values of the independent variable______.
Answer
Correct Answer:
Increase
Note: This Question is unanswered, help us to find answer for this one
As the independent variable increases, the _____ variable decreases, it is called Negative Correlation.
Answer
Correct Answer:
Dependent
Note: This Question is unanswered, help us to find answer for this one
The effect of x on y is generally _____ at all values of x.
Answer
Correct Answer:
Same
Note: This Question is unanswered, help us to find answer for this one
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.
Answer
Correct Answer:
Both a and b
Note: This Question is unanswered, help us to find answer for this one
Assumption in ordinary least-squares (OLS) regression that the error terms are varied across all values of x is known as Homoscedasticity.
Answer
Correct Answer:
False
Note: This Question is unanswered, help us to find answer for this one
Means of y calculated for every value of x is known as conditional Mean of y.
Answer
Correct Answer:
True
Note: This Question is unanswered, help us to find answer for this one
Coefficient Of Determination is the percentage of the variation in the dependent variable (y) that is explained by the _____ variable.
Answer
Correct Answer:
Independent
Note: This Question is unanswered, help us to find answer for this one
Bivariate Correlation measures the _____ relationship between two variables.
Answer
Correct Answer:
Linear
Note: This Question is unanswered, help us to find answer for this one
_____ is the name for the population parameter of the slope, but also a name given to the standardized slope regression coefficient in multiple regression.
Answer
Correct Answer:
Beta Coefficient
Note: This Question is unanswered, help us to find answer for this one
More Criminal Justice And Criminology (Statistics) In The United States Subjects