Homework Answers
The first differenced model is appropriate for finding omitted variable in negative correlation so Answer would be
(B) The error terms of first differenced model is not serially correlated.
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which of the following is correct, when we have pure serial correlation in a regression? 12...
1. Consider the following unobserved effects regression model: Suppose that the idiosyncratic error u, t 1,..,T...
1. Consider the following unobserved effects regression model: Suppose that the idiosyncratic error u, t 1,..,T are serially correlated with constant variance σ2. Show that the correlation between adjacent differences, Δυ" and Δυ,-l is -0.5. Therefore under the ideal FE assumptions, first differencing induces negative serial correlation of a known value. [Note:
Why is the first step in the regression model evaluation so important? Multiple Choice We desire...
Why is the first step in the regression model evaluation so important? Multiple Choice We desire the explanatory power of the model to be at least 84% of the variation in the dependent variable. We want the relationship to be statistically significant at the desired level of confidence. We would never want to use a relationship that does not conform to business/economic logic. We need to determine if the Durbin-Watson test is within our range of zero to four to...
I have to submit a term paper which involves conducting a regression and correlation analysis on ...
I have to submit a term paper which involves conducting a regression and correlation analysis on any topic of my choosing. The paper must be based on yearly data for any economic or business variable, for a period of at least 20 years. The following also must be included in the paper: • The term paper should distinguish between dependent and independent variables; determine the regression equation by the least squares method; plot the regression line on a scatter diagram;...
The following show the results of regression: Housing Sold = b0 + b1 permit +b2 price...
The following show the results of regression: Housing Sold = b0 + b1 permit +b2 price + b3 employment Dependent Variable: SOLD , Method: Least Squares Date: 03/15/20 Time: 14:59 Included observations: 108 Variable Coefficient Std. Error t-Statistic Prob. C -61520.76 167763.0 -0.366712 0.7146 PERMIT 15.98282 .280962 12.47721 0.0000 PRICE ...
1.7. Consider a multiple regression model: y Ao + β1x1 + β, x2 +11. Which of...
1.7. Consider a multiple regression model: y Ao + β1x1 + β, x2 +11. Which of the following is the correct way to find the OLS estimate B using the "partialling out" technique? (a) Run y-%+71x1+1. and obtain r. Then run 3: α° + ait e, al will be equal to y-a0 + α|r + e. ai will be equal to β . run y-a, +ar+e.ử, will be equal to B run y-a, +ar+e.ử, will be equal to β b)...
Lab Activity 6: Multiple Regression We are looking at the research question: Will positive affectivity (PA)...
Lab Activity 6: Multiple Regression We are looking at the research question: Will positive affectivity (PA) and social support (ASOCS) predict academic burnout (ABO) levels? Previous research has shown that people who have more positive affect tend to experience burnout less. Research has also shown that social support can help prevent burnout. Previous research has not found any relationship between positive affectivity and social support. | Descriptive Statistics Mean Std. Deviation N 3.3154 .92736 227 ABO PA 3.356 .6729 227...
just answer multiple choice 5E) Which one of the statement A-E is the correct interpretation of...
just answer multiple choice
5E) Which one of the statement A-E is the correct interpretation
of the Y-intercept?
There is no practical interpretation since one cannot have zero
years of sales.
The model predicts that the annual sale is $161.3855 when their
years of experience are zero.
The model predicts an increase of annual sale of $161.3855 if
the price goes up by $1.
The model predicts an increase in annual sales of $11369.4 if
the price goes up by...
In determining if this regression is significant, I observed the following, am I taking the correct...
In determining if this regression is significant, I observed the
following, am I taking the correct approach?
To check if your results are reliable (statistically
significant), look at Significance F (0.00). If this value is less
than 0.05, the regression is acceptable. If Significance F is
greater than 0.05, it's advisable to stop using this set of
independent variables.
As part of the hypothesis test, we should evaluate R-squared as
it measures the strength of the relationship between the model...
1. In order to test whether the multiple linear regression model y bo +b,x1 + b2X2 is better than the average model (lazy model), which of the following null hypotheses is correct: a. Ho' b1...
1. In order to test whether the multiple linear regression model y bo +b,x1 + b2X2 is better than the average model (lazy model), which of the following null hypotheses is correct: a. Ho' b1 = b2 = 0 Но: B1 B2-0 с. We have a dataset Company with three variables: Sales, employees and stores. To build a multiple linear regression model using Sales as dependent variable, number of stores and number of employees as independent variables, which of the...
1. Consider the following unobserved effects regression model: Suppose that the idiosyncratic error u, t 1,..,T are serially correlated with constant variance σ2. Show that the correlation between adjacent differences, Δυ" and Δυ,-l is -0.5. Therefore under the ideal FE assumptions, first differencing induces negative serial correlation of a known value. [Note:
1.7. Consider a multiple regression model: y Ao + β1x1 + β, x2 +11. Which of the following is the correct way to find the OLS estimate B using the "partialling out" technique? (a) Run y-%+71x1+1. and obtain r. Then run 3: α° + ait e, al will be equal to y-a0 + α|r + e. ai will be equal to β . run y-a, +ar+e.ử, will be equal to B run y-a, +ar+e.ử, will be equal to β b)...
Lab Activity 6: Multiple Regression We are looking at the research question: Will positive affectivity (PA) and social support (ASOCS) predict academic burnout (ABO) levels? Previous research has shown that people who have more positive affect tend to experience burnout less. Research has also shown that social support can help prevent burnout. Previous research has not found any relationship between positive affectivity and social support. | Descriptive Statistics Mean Std. Deviation N 3.3154 .92736 227 ABO PA 3.356 .6729 227...
just answer multiple choice
5E) Which one of the statement A-E is the correct interpretation
of the Y-intercept?
There is no practical interpretation since one cannot have zero
years of sales.
The model predicts that the annual sale is $161.3855 when their
years of experience are zero.
The model predicts an increase of annual sale of $161.3855 if
the price goes up by $1.
The model predicts an increase in annual sales of $11369.4 if
the price goes up by...
In determining if this regression is significant, I observed the
following, am I taking the correct approach?
To check if your results are reliable (statistically
significant), look at Significance F (0.00). If this value is less
than 0.05, the regression is acceptable. If Significance F is
greater than 0.05, it's advisable to stop using this set of
independent variables.
As part of the hypothesis test, we should evaluate R-squared as
it measures the strength of the relationship between the model...
1. In order to test whether the multiple linear regression model y bo +b,x1 + b2X2 is better than the average model (lazy model), which of the following null hypotheses is correct: a. Ho' b1 = b2 = 0 Но: B1 B2-0 с. We have a dataset Company with three variables: Sales, employees and stores. To build a multiple linear regression model using Sales as dependent variable, number of stores and number of employees as independent variables, which of the...
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