stats 2 chapter 7: linear regression

a variable that takes on the values of 0 or 1 and is used to incorporate the effect of categorical variables in a regression model is colled

a dummy variable

in regression analysis, the variable that is being predicted is the

dependent variable

one of the measures of the accuracy (goodness of fit) of the regression model is called the coefficient of

determination

in regression analysis, y^ = b0 + b1x1 + b2x2 + ...... + bqxq developed from sample data is known as

estimated regression equation

in a regression model involving more than one independent variable, which of the following tests is used to examine the overall significant of the model

f test

the purpose of regression analysis is to

identify the relationship between a dependent variable and one or more independent variables

an estimated regression equation has the form: y^ = 7 +2x1 + 9x2. as x1 increases by 1 unit (holding x2 constant), then y is expected to

increase by two units

in regression analysis, y = Bo + B1x1 + B2x2 + ...... + Bqxq + E is colled

linear regression model

in multiple regression analysis, the correlation among the independent variables is termed

multicollinearity

the standard error of the estimate s is the

square root of mean square error (MSE)

in a regression model, which of the following tests is used in order to determine whether an individual independent variable is significant

t test

the procedure of using sample data to find the estimated regression equation is better known as

the least squares method

in the regression model y=B0 + B1x1 + B2x2 + ...... + Bqxq + E, the standard deviation of the term E is estimated by

the standard error of the estimate s

in multiple regression analysis,

there can be several independent variables, but only one dependent variable

in regression analysis, independent variables are

used to predict the dependent variable

if the confection of determination r^2 is 0.95, then

95% of observed variations in y is explained by the estimated regression equation

in regression analysis, if the coefficient of determination r^2=1, then

SSE must be equal to 0