DSOM CHAPTER 7 EXAM QUESTIONS AND ANSWERS
WITH COMPLETE SOLUTIONS VERIFIED
In the simple linear regression model, the ____________ accounts for the
variability in the dependent variable that cannot be explained by the linear
relationship between the variables.
error term
The population parameters that describe the y-intercept and slope of the line
relating y and x, respectively, are
B0 and B1
In a simple linear regression model, y = ß0 + ß1x + ε the parameter ß1 represents
the
slope of the true regression line
__________ is used to test the hypothesis that the values of the regression
parameters ß1, ß2, ... ßq are all zero.
An F Test
The graph of the simple linear regression equation is a(n)
straight line
A procedure for using sample data to find the estimated regression equation is
the least squares method.
The coefficient of determination
is used to evaluate the goodness of fit.
, What would be the value of the sum of squares due to regression (SSR) if the
total sum of squares (SST) is 25.32 and the sum of squares due to error (SSE) is
6.89?
18.43
A regression analysis involving one independent variable and one dependent
variable is referred to as a
simple linear regression.
When the mean value of the dependent variable is independent of variation in the
independent variable, the slope of the regression line is
zero
In a linear regression model, the variable (or variables) used for predicting or
explaining values of the response variable are known as the __________. It(they)
is(are) denoted by x.
Independent variable
In a linear regression model, the variable that is being predicted or explained is
known as _____________. It is denoted by y and is often referred to as the
response variable.
dependent variable
A variable used to model the effect of categorical independent variables in a
regression model which generally takes only the value zero or one is called
a dummy variable.
Regression analysis involving one dependent variable and more than one
independent variable is known as
WITH COMPLETE SOLUTIONS VERIFIED
In the simple linear regression model, the ____________ accounts for the
variability in the dependent variable that cannot be explained by the linear
relationship between the variables.
error term
The population parameters that describe the y-intercept and slope of the line
relating y and x, respectively, are
B0 and B1
In a simple linear regression model, y = ß0 + ß1x + ε the parameter ß1 represents
the
slope of the true regression line
__________ is used to test the hypothesis that the values of the regression
parameters ß1, ß2, ... ßq are all zero.
An F Test
The graph of the simple linear regression equation is a(n)
straight line
A procedure for using sample data to find the estimated regression equation is
the least squares method.
The coefficient of determination
is used to evaluate the goodness of fit.
, What would be the value of the sum of squares due to regression (SSR) if the
total sum of squares (SST) is 25.32 and the sum of squares due to error (SSE) is
6.89?
18.43
A regression analysis involving one independent variable and one dependent
variable is referred to as a
simple linear regression.
When the mean value of the dependent variable is independent of variation in the
independent variable, the slope of the regression line is
zero
In a linear regression model, the variable (or variables) used for predicting or
explaining values of the response variable are known as the __________. It(they)
is(are) denoted by x.
Independent variable
In a linear regression model, the variable that is being predicted or explained is
known as _____________. It is denoted by y and is often referred to as the
response variable.
dependent variable
A variable used to model the effect of categorical independent variables in a
regression model which generally takes only the value zero or one is called
a dummy variable.
Regression analysis involving one dependent variable and more than one
independent variable is known as
