Interpret the following regression equation with (UR) uemployment rate as dependent variable and (INF) inflation as the independent variable. Dependent Variable: URMethod: Least SquaresDate: 10/30/22 Time: 11:50Sample: 1991 2021Included observations: 31VariableINFR-squaredAdjusted R-squaredS.E. of regressionSum squared residLog likelihoodDurbin-Watson statCoefficient2.749079Std. Error0.488019t-Statistic5.6331370.251048 Mean dependent var0.251048 S.D. dependent var36.76557Akaike info criterion40551.21 Schwarz criterion-155.2203 Hannan-Quinn criter.0.537950Prob.0.000030.7434542.4829210.0787310.1249810.09381

Answered: Interpret the following regression…

Interpret the following regression equation with (UR) uemployment rate as dependent variable and (INF) inflation as the independent variable.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Related questions

Q: Hello, The following data was collected for the country Spain for the years 2007-1993. Using the…

A: The following multiple regression equation is given,From the given data, it is required to validate…

Q: A group of university researchers wanted to determine the relationship that exists between the…

Q: Use a= .05 and one tailed test t= -5.00, df= 5. reject, fail to reject

A: Given α = 0.05, two tailed test, t = -5 and degree of freedom = 5.For a two tail test if test…

Q: 0.10 v_i 0.20 0.30 0.00 0 50 80000 100 ශ්‍රසි Leverage values о 150 200

A: The provided chart of regression model analysis:The reason for using this type of plot in analyzing…

Q: Assume that the coefficient estimated in the second regression is correct. Forget about the effect…

A: From the given information,Here, the omitted variable is Return. Assume that Coefficient of Return…

Q: Data is collected on teacher salary (measured in 1000’s of $’s) and years of service, rating by the…

A: Given Data is collected on teacher salary (measured in 1000’s of $’s) and years of service, rating…

Q: A simple linear regression model between income and expense established and the estimation of the…

A: In theory of statistics, dependent variable is the response variable, where the variation of the…

Q: Finally , the researcher considers using regression analysis to establish a linear relationship…

A: a. In regression analysis the independent variable is used to predict the dependent variable.

Q: The regression line for a data set showing the percentage E of employees who cease employment versus…

A: Given: regression equation = E = 20 - S200 E - % of employee who cease employement S - monthly…

Q: Consider a linear regression model for the decrease in blood pressure (mmHg) over a four-week period…

A: In a linear regression model , where is the response variable (decrease in blood pressure in this…

Q: Define a general formula used for a nonlinear population regression function? Explain with example?

Q: i have the following regression equation Log(total deaths per million) = -3.882 + 0.934Log(total…

A: For example: The slope coefficients is given as 2 this can be interpreted as if there will be one…

Q: Canada's trade balance with the rest of the world has been steadily increasing over the past several…

A: Since you have posted a question with multiple sub-parts, we will solve first three sub-parts for…

Q: Based on the regression results, answer the following questions* A sample of data is collected (from…

A: There are 6 independent variable in the given output. CEOANN, EMPL, MKTVAL, and EPSIN are all…

Q: Regression Statistics Multiple R R Square Adjusted R Square Standard Error .490 Observations 1000…

A: Given:

Q: also compute the regression equation in which you predict Y using X as the predictor variable

Q: Apple CAPM Data file posted on has data about the monthly return on Apple Inc. from 1981 to 2005…

A: To address the given task, we need to analyze the monthly return data for Apple Inc. from 1981 to…

Q: Finally, the researcher considers using regression analysis to establish a linear relationship…

Q: 4. What is the equation of the regression line? [Select] 5. Using the regression line model, predict…

A: Use the Excel and Perform the Regression. Followings are the Steps to perform the Regression 1) Open…

Q: If a regression equation is used, when are predictions not meaningful?

A: A regression equation is used in statistics to calculate the relationship, which, exists between…

Q: State True or False A linear regression with a[ostive correlation will have a slope that is greater…

A: Given : Statement : A linear regression with positive correlation will have a slope that is greater…

Q: 5. (a) Why is simple linear regression important? Distinguish between linear regression and…

Q: (c) If the fitted model was y = 7.264 +0.914x, we can say that an increase of $1 in listing price is…

A: It is given that the fitted model is y^ = 7.264 + 0.914x

Q: State true or false When a correlation coefficient for a linear regression model is close to -1 ,…

A: Given : Statement : When a correlation coefficient (corr. coeff.) for a linear regression(reg.)…

Q: e number of new contributors to a public radio station's annual fund drive over the last ten years…

A: It is given that the number of new contributors to a public radio station's annual fund drive over…

Q: Can we use "OLS Regression Model" as a method to examine the relationship of Education and Income…

A: Given information: The investigator is specially interested to study the impact of education level…

Q: What is the interpretation of the slope beta1=-0.5 for the simple logistic regression with a…

A: The simple logistic regression model is a predictive algorithm using independent variables…

Q: Develop a multiple regression equation for starting salaries using School Ranking, GPA, and…

A: Given variables are salaries, school _ranking, gpa and experience.

Q: true or false. Explain In a fixed effects regression, the residuals (ûit) will be uncorrelated with…

A: The statement is true.

Q: How expected change is estimated? when the population regression function is a nonlinear function of…

A: Introduction: Consider the response variable as Y. Suppose f (X) be a function of the predictor…

Q: (a) Run linear regression on the closing price data for BTC in the range of 12/15/2020 to…

A: The BTC closing price data from 12/15/2020 to 2/21/2021 is given below : Date Close* 21-Feb-21…

Q: A negative correlation between variables X and Y will always result in a positive slope in the…

A: Variables X and Y have negative correlation between them. Let, r be correlation coefficient and…

Q: Means for the main effects are often referred to as marginal means. True False

A: Statement : Means for the main effects are often referred to as marginal means.

Q: An airline claims at the Average number of years of experience of its pilots is 18.3 years. In a…

Q: A researcher conducted a study about the hemoglobin levels among menopausal and non-menopausal…

A: Let X1 represents hemoglobin level and X2 repentance age. Y is dependent variable which represents…

Q: Based on the sample data and the regression line, complete the following. (a) For these data,…

A: From the given scatterplot and equation:

Q: Question 2) The following regression model will be estimated according to the data of real…

A: Given information: The data represents the values of the variables real consumption expenditure,…

Q: question 1: y̅ = ?+?x question 2: r2 for this model is ?. There is (more, less or no…

Q: Define regression line

A: Suppose ,we have 2 variables X and Y, out of which we want to know if there is any linear dependency…

Question

Interpret the following regression equation with (UR) uemployment rate as dependent variable and (INF) inflation as the independent variable.

Dependent Variable: UR
Method: Least Squares
Date: 10/30/22 Time: 11:50
Sample: 1991 2021
Included observations: 31
Variable
INF
R-squared
Adjusted R-squared
S.E. of regression
Sum squared resid
Log likelihood
Durbin-Watson stat
Coefficient
2.749079
Std. Error
0.488019
t-Statistic
5.633137
0.251048 Mean dependent var
0.251048 S.D. dependent var
36.76557
Akaike info criterion
40551.21 Schwarz criterion
-155.2203 Hannan-Quinn criter.
0.537950
Prob.
0.0000
30.74345
42.48292
10.07873
10.12498
10.09381

Expert Solution

Step 1

Given information:

Consider the given output in which the dependent variable is the Unemployment rate and the independent variable is inflation.

Step by step

Solved in 2 steps with 1 images

SEE SOLUTION Check out a sample Q&A here

Similar questions

If the Pearson correlation between X and Y is negative, then the regression equation will have a negative slope. true or false
What are the Standard Errors for Fixed Effects Regression?
4. What do you know about explained and unexplained variation? What is regression line and regression equation?
Is the price elasticity of demand for cars statistically significant at 10% significant level? Explain.
None
Consider a linear regression model for the decrease in blood pressure (mmHg) over a four-week period with muy=2.8+0.8x and standard deviation chi=3.2. The explanatory variable x is the number of servings fruits and vegetables in a calorie-controlled diet. Explain clearly what this slope says about the change in the mean of y for a change in x.
what is the regression equation for all predictors? I
Explain how to determine the variance inflation factor (VIF) for a predictor variable x1 in a regression equation that also contains the predictor variables x2, x3, and x4.
** Based on the regression results, answer the following questions ** A sample of data is collected (from 1999 and 2000) concerning the compensation of the executives (compensation is measured in 1000’s of $’s) of a number of public companies along with other firm-specific data. The dependent variable is total compensation, CEOANN is a dummy variable =1 for an individual who is a CEO and =0 for individuals who are not CEO’s, EMPL is total employees, MKTVAL is the natural logarithm of the market value of the firm, EPSIN is earnings per share, YEAR is a dummy variable = 1 for the year 2000 and =0 for year 1999, and ASSETS is the natural logarithm of the total assets of the company. Based on the regression results, answer the following questions b) What is the estimated regression equation? c) What percentage of the variation in income in explained by the regressors? d) What is the standard error of the error term in the regression equation?
A researcher interested in explaining the level of foreign reserves for the country of Barbadosestimated the following multiple regression model using yearly data spanning the period 2001 to 2016: ??=?+????+????+????Where FR = yearly foreign reserves ($000’s), OIL = annual oil prices, EXP = yearly total exports ($000’s) and FDI = annual foreign direct investment ($000’s). The sample of data was processed using MINITAB and the following is an extract of the output obtained:Predictor Coef StDev t-ratio p-value Constant 5491.38 2508.81 2.1888 0.0491OIL 85.39 18.46 4.626 0.0006EXP -377.08 112.19 * 0.0057FDI -396.99 160.66 -2.471 ** S = 2.45 R-sq = 96.3% R-sq(adj) = 95.3%Analysis of VarianceSource DF SS MS F pRegression 3 1991.31 663.77 ? ??Error 12 77.4 6.45Total 15 Perform the F Test making sure to state the null and alternative hypothesis. f) Given an interpretation of the term “R-sq” and comment on its value.