(Solved): A dummy variable is also called a(n) Answers: indicator variable. response variable. dependent var ...

A dummy variable is also called a(n) Answers: indicator variable. response variable. dependent variable. continuous variable. Which of the following statements is not true about regression models? Answers: The error is found by subtracting the actual data value from the predicted data value. The regression line minimizes the sum of the squared errors. The dependent variable is the explanatory variable. Estimates of the slope are found from sample data. Which of the following statements is true regarding a scatter diagram? Answers: It provides very little information about the relationship between the regression variables. It has a value between \( -1 \) and \( +1 \). It is a line chart of the independent and dependent variables. It is a plot of the independent and dependent variables. The coefficient of determination resulting from a particular regression analysis was \( 0.85 \). What was the correlation coefficient, assuming a positive linear relationship? \( \begin{array}{ll}\text { Answers: } & 0.723 \\ & -0.500 \\ & 0.922\end{array} \) There is insufficient information to answer the question. Which of the following is an assumption of the regression model? Answers: \( \quad \) The errors have a standard deviation of zero. The errors are independent. The errors are not normally distributed. The errors have an irregular variance. Which of these statements is accurate? Answers: In any regression model, there is an implicit assumption that there is no preexisting relationship between the variables. In regression, there is random error that can be predicted. Estimates of the slope, intercept, and error of a regression model are found from sample data. Error is the difference in the actual value and the predicted value. The sum of squared error (SSE) is Answers: a measure in the variation of \( X \) about the regression line. a measure of the total variation in \( Y \) about the mean. a measure of the total variation in \( X \) about the mean. a measure in the variation of \( Y \) about the regression line. Which of the following is not an assumption of the regression model? Answers: The errors are independent. The errors have constant variance. The errors are normally distributed. The errors should have a standard deviation equal to one. Which of these statements about multiple regression is accurate? Answers: The p-value for the F-test may not be interpreted the same with multiple regression models as they are with sin The multiple regression model includes several dependent variables. The multiple regression model includes several intercept terms. The multiple regression model includes multiple slope coefficients. Which of these statements is accurate? Answers: The regression model assumes the error terms are dependent. The regression model assumes the errors are normally distributed. The errors in a regression model are assumed to have an increasing mean The errors in a regression model are assumed to have zero variance.