1. In regression analysis, the variable which is being predicted is the: (a) independent variable (b)...

   

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1. In regression analysis, the variable which is being predicted is the: (a) independent variable (b) dependent variable (c) intervening variable (d) dummy variable (e) none of the above 3. 5. Regression and correlation analysis help determine all of the following except: (a) the causal effect of one variable on another. (b) the nature of the relationship between two variables. (c) the strength of the relationship between two variables. (d) the prediction of one variable from another. In regression analysis, if the dependent variable is measured in dollars, the independent variable: (a) must also be in dollars. (b) must be in some units of currency. (c) can be any units. (d) can not be in dollars. The least squares regression line minimizes the sum of the: (a) differences between actual and predicted Y values. (b) absolute deviations between actual and predicted Y values (c) absolute deviations between actual and predicted X values (d) squared differences between actual and predicted Y values In simple regression analysis, the number of degrees of freedom for the t-statistic is (n-2). What is the best explanation? (a) There are two variables, x and y. (b) There are two parameters estimated, bo and bi. (c) The method of least squares is used. (d) Errors are made in two ways: above and below the line. 1. In regression analysis, the variable which is being predicted is the: (a) independent variable (b) dependent variable (c) intervening variable (d) dummy variable (e) none of the above 3. 5. Regression and correlation analysis help determine all of the following except: (a) the causal effect of one variable on another. (b) the nature of the relationship between two variables. (c) the strength of the relationship between two variables. (d) the prediction of one variable from another. In regression analysis, if the dependent variable is measured in dollars, the independent variable: (a) must also be in dollars. (b) must be in some units of currency. (c) can be any units. (d) can not be in dollars. The least squares regression line minimizes the sum of the: (a) differences between actual and predicted Y values. (b) absolute deviations between actual and predicted Y values (c) absolute deviations between actual and predicted X values (d) squared differences between actual and predicted Y values In simple regression analysis, the number of degrees of freedom for the t-statistic is (n-2). What is the best explanation? (a) There are two variables, x and y. (b) There are two parameters estimated, bo and bi. (c) The method of least squares is used. (d) Errors are made in two ways: above and below the line.

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Regression 1 In regression analysis the variable which is being pre... View the full answer