Consider the following regression equation: Yt = β0 + β1X1+…+ βk Xk + ut. In which of...
Consider the following regression equation: Yt = β0 + β1X1+…+ βk Xk + ut. In which of the following cases is the dependent variable binary?
(a) The variable Ytindicates the gross domestic product of a country
(b) The variable Ytindicates whether an adult is employed
(c) The variable Ytindicates household consumption expenditure
(d) The variable Ytindicates the number of children in a family
Homework Answers
As it is quite clear from the explaination that all variables except adult employment status are quantitative variables.
Like Gross domestic product of a country, household consumption , number of child in a family are qunatitative variables but status of employment of an individual is either yes or no. i.e., it is a binary variable which takes just two values
Yes-Individual is employed
No-Individual is not employed
So option B is correct
Add Answer to:
Consider the following regression equation: Yt =
β0 + β1X1+…+ βk
Xk + ut. In which of...
Consider a population linear regression model: Yt=β0 + β1Xt + ut Calculate: 1. Variance 2. Covariance...
Consider a population linear regression model: Yt=β0 + β1Xt + ut Calculate: 1. Variance 2. Covariance of ut and Xt 3. β0 4. β1
1. Consider the following simple regression model: y = β0 + β1x1 + u (1) and...
1. Consider the following simple regression model: y = β0 + β1x1 + u (1) and the following multiple regression model: y = β0 + β1x1 + β2x2 + u (2), where x1 is the variable of primary interest to explain y. Which of the following statements is correct? a. When drawing ceteris paribus conclusions about how x1 affects y, with model (1), we must assume that x2, and all other factors contained in u, are uncorrelated with x1. b....
Consider a linear regression model with n predictor variables X1, . . ., Xk and a...
Consider a linear regression model with n predictor variables X1, . . ., Xk and a target variable y: y= β0+β1X1+…+βkXk+ε . We take n measurements of the predictor and target variables to obtain the following matrix equation: y=Xβ+εy:nx1, X:nxk+1 SSE=εTε, ε=y-Xβ Calculate the number of degrees of freedom of SSE.
Use the knowledge of "Introductions to Econometrics" to answer the following questions： Yt=β0+β1Xt+Ut Show that for...
Use the knowledge of "Introductions to Econometrics" to answer the following questions： Yt=β0+β1Xt+Ut Show that for the Least Square Estimators: a) The sum of the residuals equals zero. b) The sum of the product of the independent variable and residuals equals zero. Step by step
1. Functional form misspecification and RESET Consider the following model that satisfies assumption MLR.4: y=β0+β1x1+. ....
1. Functional form misspecification and RESET Consider the following model that satisfies assumption MLR.4: y=β0+β1x1+. . .+βkxk+u Which of the following describes the regression specification error test (RESET)? PICK all that apply. RESET picks up all kinds of neglected nonlinearities when more quadratic terms are added to the original model. RESET works better when there are many explanatory variables in the original model, as it increases its degrees of freedom. To implement RESET, the researcher must add at least seven...
Consider the following model for Bitcoin return equation: BTCt = β0 + β1TSXt + β2GSPCt +...
Consider the following model for Bitcoin return equation: BTCt = β0 + β1TSXt + β2GSPCt + ut where BTCt, TSXt, GSPCt are the monthly return of Bitcoin, the TSX index, and S&P500 index, respectively. (a) We suspect that the model suffers from omitted variable bias because we have no data on consumer sentiment. Write down the procedure of Hausman test using the lagged variables T S Xt−1 and GS P Ct−1 as instruments for the two endogenous variables (TSX and...
Consider the following multiple regression results below, which examine the potential impact of smoking by the...
Consider the following multiple regression results below, which examine the potential impact of smoking by the mother during pregnancy has on the birth weights of their newborns. In the models reported below, the dependent variable is birth weight (in pounds). The explanatory variables are: the number of cigarettes smoked per day during pregnancy by the mother, the birth order of the child in the family (with 1 denoted first-born, 2 second-born, etc.), the gender of the child (=1 if male...
Consider the following multiple regression results below, which examine the potential impact of smoking by the...
Consider the following multiple regression results below, which
examine the potential impact of smoking by the mother during
pregnancy has on the birth weights of their newborns. In the models
reported below, the dependent variable is birth weight (in pounds).
The explanatory variables are: the number of cigarettes smoked per
day during pregnancy by the mother, the birth order of the child in
the family (with 1 denoted first-born, 2 second-born, etc.), the
gender of the child (=1 if male...
Id really appreciate help with this question: Consider the following multiple regression results below, which examine...
Id really appreciate help with this question:
Consider the following multiple regression results below, which examine the potential impact of smoking by the mother during pregnancy has on the birth weights of their newborns. In the models reported below, the dependent variable is birth weight (in pounds). The explanatory variables are: the number of cigarettes smoked per day during pregnancy by the mother, the birth order of the child in the family (with 1 denoted first-born, 2 second- born, etc.),...
Consider the following multiple regression results below, which examine the potential impact of smoking by the mother during pregnancy has on the birth weights of their newborns. In the models reported below, the dependent variable is birth weight (in pounds). The explanatory variables are: the number of cigarettes smoked per day during pregnancy by the mother, the birth order of the child in the family (with 1 denoted first-born, 2 second-born, etc.), the gender of the child (=1 if male...
Consider the following multiple regression results below, which
examine the potential impact of smoking by the mother during
pregnancy has on the birth weights of their newborns. In the models
reported below, the dependent variable is birth weight (in pounds).
The explanatory variables are: the number of cigarettes smoked per
day during pregnancy by the mother, the birth order of the child in
the family (with 1 denoted first-born, 2 second-born, etc.), the
gender of the child (=1 if male...
Id really appreciate help with this question:
Consider the following multiple regression results below, which examine the potential impact of smoking by the mother during pregnancy has on the birth weights of their newborns. In the models reported below, the dependent variable is birth weight (in pounds). The explanatory variables are: the number of cigarettes smoked per day during pregnancy by the mother, the birth order of the child in the family (with 1 denoted first-born, 2 second- born, etc.),...
Most questions answered within 3 hours.
-
Convert the contents of text file to upper case (C++
Programming)
Convert the contents of a...
asked 8 minutes ago -
The balance in the prepaid
insurance account, before adjustment at the end of the year, is...
asked 10 minutes ago -
22. Suppose that each firm has the long run cost function
c(y) = y2 + 9...
asked 16 minutes ago -
Resting Metabolic Rate: Seated vs. Lying supine: What would be
happening physiologically that is different in...
asked 16 minutes ago -
What Volume (in mL) of KBr solution must be taken so it will
contain 2.83x10^-5 moles...
asked 35 minutes ago -
Dr Johnson invests $9,000 at the rate of 6% annual interest
compounded semi annually for 4...
asked 35 minutes ago -
The contribution format income statement for Huerra Company for
last year is given below:
Total
Unit...
asked 43 minutes ago -
How do I write a program in MIPs assembly that will take 2 words
from the...
asked 44 minutes ago -
two identical cars approach an intersection, one is traveling east
at 18n/s. the second is traveling...
asked 50 minutes ago -
When an X-ray beam with a wavelength of 133 pm is incident on
the surface to...
asked 59 minutes ago -
Compare and contrast the internal and external organization of
Congress and the President.
"2 paragraph"
asked 1 hour ago -
Suppose that the average waiting time for a patient at a
physician's office is just over...
asked 1 hour ago