Question

In: Statistics and Probability

how to interpret log-linear coefficient? Follow is the independent variables and their coefficient Dependent variable: EXPORT...

how to interpret log-linear coefficient? Follow is the independent variables and their coefficient

Dependent variable: EXPORT

Constant= 11.96

Adoption rate=0.03

approval process=5.12

risk assessment=-3.6

labeling = -2.03

international agreement= 0.44

Solutions

Expert Solution

In case of log linear,

log( Dependent variable ) = constant + sum( beta_i*x_i )

to interpret in this case

log( EXPORT ) = 11.96 + 0.03*Adoption rate + 5.12*approval process - 3.6*risk assessment - 2.03*labeling + 0.44*international agreement

or, EXPORT = exp( 11.96 + 0.03*Adoption rate + 5.12*approval process - 3.6*risk assessment - 2.03*labeling + 0.44*international agreement )

higher the value of power of e more the value of export

higher the value 11.96 + 0.03*Adoption rate + 5.12*approval process - 3.6*risk assessment - 2.03*labeling + 0.44*international agreement more the export

or,

EXPORT is positively related to Adoption rate, more the Adoption rate more the export

EXPORT is positively related to approval process, more the value of approval process more the export

EXPORT is negatively related to risk assessment, lesser the risk assessment more the export

EXPORT is negatively related to labeling, lesser the labeling more the export

EXPORT is positively related to international agreement, more the international agreement more the export


Related Solutions

How is the slope coefficient interpreted in a log-linear model, where the dependent variable is (i)...
How is the slope coefficient interpreted in a log-linear model, where the dependent variable is (i) in logarithms but the independent variable is not (i.e. a log-linear model), (ii) in a linear-log model and (iii) in a log-logmodel?
How do you interpret a regression coefficient, which has log differences as both independent and dependent...
How do you interpret a regression coefficient, which has log differences as both independent and dependent variable. For example, log(y_t+1)-log(y_t) = alpha+beta{log(x_t+1)-log(x_t)}+...... Is it “1 percent increase in the growth rate of x affects the growth rate of y by beta percent.”?
Having data of two independent variables and a dependent variable, how do I plot a linear...
Having data of two independent variables and a dependent variable, how do I plot a linear graph (trendline fit)? (Linear equation) Possible to use excel.
In a multi linear regression case study, the dependent variable is house_value, the independent variables are...
In a multi linear regression case study, the dependent variable is house_value, the independent variables are house_age, crime_rate, tax_rate, trying to build a model to predict the house value, how to state model assumptions? What's the assumption in this case? Thanks!
Refresher on Variables: Classifying variables as independent or dependent: The independent variable is the one being...
Refresher on Variables: Classifying variables as independent or dependent: The independent variable is the one being manipulated or grouped in the study for comparison. A tip to remember this is to think that independent starts with “I” and I, the researcher, manipulate that variable or have control over who is grouped in the study. The way we will be using independent variables in this course is in terms of between group analysis, so our focus will be on groups being...
Identify the dependent variable and the independent variable (or variables) and comment on the validity of...
Identify the dependent variable and the independent variable (or variables) and comment on the validity of the implied causal relationship: A study that looks at students’ college GPAs and how they are affected by the students’ number of weekly study hours, high school GPA, and number of weekly hours of extra-curricular activities. A young pitcher wants to understand how she can improve her pitches. She collects data on the number of strikes thrown in a pitched game, the average number...
1- In discriminant analysis, the dependent variable is ________ and the independent variables are ________ in...
1- In discriminant analysis, the dependent variable is ________ and the independent variables are ________ in nature. a interval; categorical b ordinal; interval c categorical; interval d ordinal; categorica 2- s one of the statistics associated with discriminant analysis, ________ are obtained when the unstandardized coefficients are multiplied by the values of the variables and the products are summed and added to the constant term. a Wilks' λ b discriminant scores c discriminant function coefficients d eigenvalue
1- In discriminant analysis, the dependent variable is ________ and the independent variables are ________ in...
1- In discriminant analysis, the dependent variable is ________ and the independent variables are ________ in nature. a interval; categorical b ordinal; interval c categorical; interval d ordinal; categorica 2- s one of the statistics associated with discriminant analysis, ________ are obtained when the unstandardized coefficients are multiplied by the values of the variables and the products are summed and added to the constant term. a Wilks' λ b discriminant scores c discriminant function coefficients d eigenvalue
For the following variables, identify which is the Independent Variable and the Dependent Variable. Then create...
For the following variables, identify which is the Independent Variable and the Dependent Variable. Then create a hypothesis (be sure to also include the direction of the relationship) and then create a null hypothesis. Temperature and crime rates Hours studied and test scores Number of police officers and crime rate
Given here are the data from a dependent variable and two independent variables. The second independent...
Given here are the data from a dependent variable and two independent variables. The second independent variable is an indicator variable with several categories. Hence, this variable is represented by x2, x3, and x4. How many categories are there for this independent variable? Use a computer to perform a multiple regression analysis on this data to predict y from the x values. Discuss the output and pay particular attention to the dummy variables. y x1 x2 x3 x4 11 1.9...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT