1)one assumption underlying linear regression is that the Y values are statistically dependent.
this means that in selecting a sample, the Y values chosen, for a particular X value, depend on
the Y for any other X.
2) if the coefficient of determination is expressed as a percent, its value is between 0% and
100%.
3)the least squares technique minimizes the sum of the squares of the vertical distances between
the actual Y values and the predicted values of Y.
4) the values of a and b in the regression equation are called the regression coefficients.
5)interaction occurs when the relationship between an independent variable and a dependent
variable is affected by another independent variable.
6) in a multiple regression equation with three independent variables, X1, X2, and X3, the
interaction term is expressed as (Y)(X1).
7)stepwise regression analysis is a method that assists in selecting the most significant variables
for a multiple regression equation.
8)stepwise regression analysis is also called a \"backward elimination\" method.
9)in regression analysis, error is defined as (?-Y).
10) for a global test of a multiple regression equation, the F-statistic is based on the regression
and residual degrees of freedom.
Solution
t ,f ,t ,t ,f, f ,t ,f ,f ,t.
1)one assumption underlying linear regression is that the Y values a.pdf
1. 1)one assumption underlying linear regression is that the Y values are statistically dependent.
this means that in selecting a sample, the Y values chosen, for a particular X value, depend on
the Y for any other X.
2) if the coefficient of determination is expressed as a percent, its value is between 0% and
100%.
3)the least squares technique minimizes the sum of the squares of the vertical distances between
the actual Y values and the predicted values of Y.
4) the values of a and b in the regression equation are called the regression coefficients.
5)interaction occurs when the relationship between an independent variable and a dependent
variable is affected by another independent variable.
6) in a multiple regression equation with three independent variables, X1, X2, and X3, the
interaction term is expressed as (Y)(X1).
7)stepwise regression analysis is a method that assists in selecting the most significant variables
for a multiple regression equation.
8)stepwise regression analysis is also called a "backward elimination" method.
9)in regression analysis, error is defined as (?-Y).
10) for a global test of a multiple regression equation, the F-statistic is based on the regression
and residual degrees of freedom.
Solution
t ,f ,t ,t ,f, f ,t ,f ,f ,t
