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Which of the following statements is true of model F statistics?

-Which of the following is true of the fundamentals of regression analysis?

A-The regression coefficient is calculated by squaring errors depenent variable.

B-A fundamental basis of regression analysis is the assumption of a circular relationship between the independent and dependent variables. 

C-Regression uses an estimation procedure called ordinary least squares that guarantees the line it estimates will be the best fitting line.

D-Any point that falls on the line of a regression analysis is the result of unexplained variance.

E-The differences between actual and predicted values of the dependent variable are known as regression coefficients and are represented by b.

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Which of the following statements is true of model F statistics? Multiple Choice
Skipped O Analysis of linear relationships between a dependent variable and multiple independent variables requires that F statistics be
smaller than beta coefficients. An F statistic shows the change in the dependent variable for each unit change in the independent variable. A larger F statistic indicates that the regression model has more explained variance than error variance. Standardization using beta coefficient augments the effects of using different scales of measurement. Bivariate regression becomes multiple regression analysis when F statistics are used. 0000

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2 O A fundamental basis of regression analysis is the assumption of: Muitiple Choice
Skipped O the existence of two independent variables for every dependent variable. the lack ofa relationship between independent variables. a straight line relationship between the independent and dependent variables.
a uniform normal distribution between dependent variables. a curvilinear relationship between two weakly associated dependent variables. OOOO

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