In linear log model, 1% change in X is associated with b/100 change in Y. So,
Option C is the correct answer.
Answer not A and D... The interpretation of the slope coefficient in the model Y;= 34.5+...
The interpretation of the slope coefficient in the model In(Y) = B. +B,X, +u, is as follows: A. a 1% change in X is associated with a B, % change in Y. B. a change in X by one unit is associated with a 100B, % change in Y. c. a 1% change in X is associated with a change in Y of 0.01 B.. D. a change in X by one unit is associated with a B, change in...
DI Question 2 4.6 pt The interpretation of the coefficient on In(Pi) in the model In(Q)-9.76-0.5 In(Pi) + ui, where Qi is the quantity demanded for a good and Pi is the price of the good, is: a 1% increase in P is associated with a 50% decrease in Q O an increase in P by one unit is associated with a 0.5 units decrease in Q. 0 a 1% increase in P is associated with a 0.5% decrease in...
Suppose a multple regression model is given by y -2.74x+6.072 29.82. What would an interpretation of the coefficient of x, be? Fill in the blank below. An interpretation of the coefficient of x, would be, "if x, decreases by 1 unit, then the response variable will increase byunits, on average, while holding x2 constant
Q9. In a simple linear regression model, the slope term is the change in the mean value of y associated with _____________ in x. A) a corresponding increase B) a variable change C) no change D) a one-unit increase
In a simple linear regression model, the slope term is the change in the mean value of y associated with _____________ in x. a corresponding increase a variable change no change a one-unit increase
Question 1 (4 points) 1. [1 point) Suppose the regression model is logarithmic: log(Y) = B1 + Blog(X) + u. The estimate of B2 is 0.035. What is the interpretation of this coefficient? 2. 1 point Suppose the regression model is semi-logarithmic: log(Y) = 8 + B,X + u. The estimate of B2 is 0.035. What is the interpretation of this coefficient? 3. [1 point) Suppose the regression model has quadratic term: Y = B1+ B2X + B3X²+u. The estimate...
Question 1 1. [1 point] Suppose the regression model is logarithmic: log(Y ) = β1 + β2 log(X) + u. The estimate of β2 is 0.035. What is the interpretation of this coefficient? 2. [1 point] Suppose the regression model is semi-logarithmic: log(Y ) = β1 + β2X + u. The estimate of β2 is 0.035. What is the interpretation of this coefficient? 3. [1point]Supposetheregressionmodelhasquadraticterm: Y =β1+β2X+β3X2+u. The estimate of β2 is 0.035. What is the interpretation of this coefficient?...
In the line: Y=BO+B1X+u What is NOT the interpretation of B1? The marginal value of x The slope of Y with respect to X The intercept of Y. The value of an additional unit of X to Y
Question 1 (4 points] 1. [1 point] Suppose the regression model is logarithmic: log(Y) = B1 + B2 log(X) +u. The estimate of B2 is 0.035. What is the interpretation of this coefficient? 2. (1 point] Suppose the regression model is semi-logarithmic: log(Y) = Bi + B2X + u. The estimate of B2 is 0.035. What is the interpretation of this coefficient? 3. [1 point] Suppose the regression model has quadratic term: Y = Bi+B2X + B3 X2 +u. The...
In the simple linear regression model, the slope represents the: A. change in y per unit change in x B. value of y when x = 0 c. change in x per unit change in y D. value of x when y = 0 In the first-order linear regression model, the population parameters of the y-intercept and the slope are estimated by CA. bo and A CB. bo and b CC. A and Po CD. b and Bo