A. The standard error of the estimate $ \mathrm{a} $. be bued to determine a range within which the independent $ \mathrm{X} $ variables can be predicted with varying degrees of statistical confidence based on the regression coefficients and the value for the $ Y $ variable.
B. The best estimate of the $ t^{\text {th }} $ value for the dependent variable is
$$
\hat{Y}{ }_{t}
$$

, as predicted by the regression equation
C. If the u error terms are normally distributed about the regression equation, there is a $ 95 \% $ probability that observations of the dependent variable will lie within roughly three standard errors of the estimate.
D. If $ r=1 $, there is a perfect inverse line ar relation between the dependent $ Y $ variable and a single independent $ X $ variable.
E. If $ r=0 $, the dependent and independent variables are autonomous.

Question

A. The standard error of the estimate $ \mathrm{a} $. be bued to determine a range within which the independent $ \mathrm{X} $ variables can be predicted with varying degrees of statistical confidence based on the regression coefficients and the value for the $ Y $ variable.
B. The best estimate of the $ t^{\text {th }} $ value for the dependent variable is 
$$
\hat{Y}{ }_{t}
$$

, as predicted by the regression equation
C. If the u error terms are normally distributed about the regression equation, there is a $ 95 \% $ probability that observations of the dependent variable will lie within roughly three standard errors of the estimate.
D. If $ r=1 $, there is a perfect inverse line ar relation between the dependent $ Y $ variable and a single independent $ X $ variable.
E. If $ r=0 $, the dependent and independent variables are autonomous.

Quizplus · Accepted Answer

The Answer of 
A. The standard error of the estimate $ \mathrm{a} $. be bued to determine a range within which the independent $ \mathrm{X} $ variables can be predicted with varying degrees of statistical confidence based on the regression coefficients and the value for the $ Y $ variable.
B. The best estimate of the $ t^{\text {th }} $ value for the dependent variable is 
$$
\hat{Y}{ }_{t}
$$

, as predicted by the regression equation
C. If the u error terms are normally distributed about the regression equation, there is a $ 95 \% $ probability that observations of the dependent variable will lie within roughly three standard errors of the estimate.
D. If $ r=1 $, there is a perfect inverse line ar relation between the dependent $ Y $ variable and a single independent $ X $ variable.
E. If $ r=0 $, the dependent and independent variables are autonomous.

A the Standard Error of the Estimate a \mathrm{a} a Be Bued to Determine a Range Within Which the

A the Standard Error of the Estimate $\mathrm{a}$ Be Bued to Determine a Range Within Which the