When the dependent variable is on the y-axis and there is only one independent variable and it is placed on the x-axis, the error term for a given observation is the vertical distance between the observation and the TRUE regression line.
True
False
What is the name for a variable that represents values of only zero and one?
a discrete variable
a time-series variable
a dummy variable
a continuous variable
1. True
(Error term is the vertical distance between the observation and
the TRUE regression line or the predicted value.)
2. a dummy variable
(A dummy variable takes value only zero and one because it
represents two opposite characteristics.)
When the dependent variable is on the y-axis and there is only one independent variable and...
The equation of the regression line between two variables x (independent variable) and y (dependent variable) is given by y-hat = -3x + 2; and the correlation coefficient is r = -.95. The possible x-values range from 1 to 10. Which of the following statements are correct? I. The variable y is strongly positive correlated to the variable x. II. The variable y is strongly negative correlated to the variable x. III. If x = 5, one would predict that...
The dependent variable is the position (y-axis) and the independent variable is the time (x-axis). This is the measured position of a rock as it falls from the top of a very high cliff and obeys the equations y = 1/2gt2. Make sure you label the plot properly. Right click on a data point in the graph and add a “Trend line.” Select a polynomial of order 2. This is a parabolic equation and describes an object falling under constant...
Multicollinearity occurs when... Select one: independent variables are perfectly correlated dependent variables are perfectly correlated an independent variable is perfectly correlated with the dependent variable the error term is perfectly correlated with the intercept All/Any of the above. Which of the following statements is true regarding an F-Test? Select one: It is a joint hypothesis test. The null hypothesis states the all slope coefficients in the population regresion model are equal to zero. It tests whether or not one's regression...
When the mean value of the dependent variable is independent of variation in the independent variable, the slope of the regression line is a. zero. b. positive. c. negative. d. infinite.
11. Multiple regression analysis is used when one independent variable is used to predict values of two or more dependent variables. True or False 13. For a two-tailed null hypothesis, the test statistic Z=1.96. Therefore, the p-value is 0.05. True False
QUESTION 10 A graphical display where the independent variable is measured along the horizontal axis and the dependent variable is measured along the vertical axis is called a ______. A.scatterplot B.line graph C.bar graph D.pie chart QUESTION 11 1. The regression coefficient is also known as the ______. A.correlation coefficient B.slope of the line C.test value D.R2 QUESTION 12 A researcher conducting a study of turnout in the fifty states finds a regression coefficient of .35. This tells the researcher...
[4] Draw a graph of the independent variable on the x-axis (abscissa) and the dependent variable on the y-axis (ordinate). Label the axis titles and units.
Suppose we have the following values for a dependent variable, Y, and three independent variables, X1, X2, and X3. The variable X3 is a dummy variable where 1 = male and 2 = female: X1 X2 X3 Y 0 40 1 30 0 50 0 10 2 20 0 40 2 50 1 50 4 90 0 60 4 60 0 70 4 70 1 80 4 40 1 90 6 40 0 70 6 50 1 90 8 80 ...
Please match the following terms with their definitions Continuous variable A. One that can take on many possible values Discrete variable B. the variable that you manipulate midpoint C. has two distinct peaks leading digits D. the center of an interval vertical axis E. One that takes on only a few possible values independent variable F. x axis G. has a tail going out to the left orizontal axis H. same shape on both sides of the center bimodal I....
The slope of a regression equation represents the average change in the dependent variable y due to a one-unit increase in the independent variable x. Given the regression equation y-hat = 15.6 - 3.8x, a one-unit increase in x would result in an average decrease of 3.8 units in y-hat.