GENB test 2 review
a. scatter chart
A _____ is used to visualize sample data graphically and to draw preliminary conclusions about the possible relationship between the variables. a. scatter chart b. Gantt chart c. pie chart d. contingency table
the least squares method
A procedure for using sample data to find the estimated regression equation is _____. a. point estimation b. the least squares method c. extrapolation d. interval estimation
simple linear regression
A regression analysis involving one independent variable and one dependent variable is referred to as a _____. a. time series analysis b. data mining c. factor analysis d. simple linear regression
d. independent variable
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. a. dependent variable b. regression variable c. residual variable d. independent variable
dependent 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. a. independent variable b. residual variable c. dependent variable d. regression variable
y-intercept
In the graph of the simple linear regression equation, the parameter ß0 represents the _____ of the true regression line. a. end-point b. slope c. x-intercept d. y-intercept
c. error term
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. a. residual b. constant term c. error term d. model parameter
straight line
The graph of the simple linear regression equation is a(n) _____. a. straight line b. ellipse c. hyperbola d. parabola
d. B0 and B1
The population parameters that describe the y-intercept and slope of the line relating y and x, respectively, are _____. a. y and x b. a and B c. a and b d. B0 and B1
Regression analysis
_____ is a statistical procedure used to develop an equation showing how two variables are related. a. Data mining b. Time series analysis c. Regression analysis d. Factor analysis