Which of the following statements about the inclusion of dummy variables in econometric equations is false? O a. The dependent variable on the left side of an equation can be a dummy variable Ob. An equation can have both a slope dummy and an intercept dummy on the right hand side Oc If there is a dummy variable as the dependent variable on the left side of an equation, intercept dummy cannot be placed as the explanatory variable on the right side; only a slope dummy can be placed on the right side O d. If there is a dummy variable as the dependent variable on the left side of an equation, both the intercept and the slope dummy can be placed as the explanatory variable on the right side

Which of the following statements about the inclusion of dummy variables in econometric equations is false? O a. The dependent variable on the left side of an equation can be a dummy variable Ob. An equation can have both a slope dummy and an intercept dummy on the right hand side Oc If there is a dummy variable as the dependent variable on the left side of an equation, intercept dummy cannot be placed as the explanatory variable on the right side; only a slope dummy can be placed on the right side O d. If there is a dummy variable as the dependent variable on the left side of an equation, both the intercept and the slope dummy can be placed as the explanatory variable on the right side

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

Similar questions

Is either of the Attached equations correct? Give reasons for youranswers
Explain why the hypothesis test H0:β1=0H0:β1=0 vs. Ha:β1≠0Ha:β1≠0 is called the test of no linear relationship.
32 Sick leave of employees in a factory before and after Covid-19 was investigated in a year. Which of the following is the test statistic value in the hypothesis of whether there is a difference between the sick leaves of the employees? (The data do not satisfy the parametric assumption). 32 - a) 15.5 B) 7.5 NS) 5.5 D) 3,5 TO) 9.5
a) Interpret the significant level of hypothesis for three independent variables in this model. b) Calculate the value of dependent value, y given that X1 = 3.5, X2 = 2.9 and X3 = 4.1.
The line of best fit through a set of data isy=46.539+4.023xy=46.539+4.023xAccording to this equation, what is the predicted value of the dependent variable when the independent variable has value 40?y = Round to 1 decimal place.
Assuming that the dependent variable is coping skills in difficult situations, which of the following statements is incorrect? B Std Error Beta t Sig -.466 .241 1.036 .302 .200 .048 .140 2.082 .030 .950 .087 .740 10.97 .000 a. Problem solving has a regression coefficient of 0.20. Therefore as problem solving increases by one unit coping skills increases by 0.20. b. As motivation increases by one unit coping skills increases by 0.95. c. If problem solving and motivation were both zero, coping skills in difficult situations would decrease by 0.466. d. At the 5% level of significance, the constant term, problem solving and motivation are all significant to the model.
A group of 11 students was selected at random and asked for their high school GPA and their freshmen GPA in college the subsequent year. The results were: Student High School GPA Freshmen GPA 1 2.0 1.6 2 2.2 2.0 3 2.6 1.8 4 2.7 2.8 5 2.8 2.1 6 3.1 2.0 7 2.9 2.6 8 3.2 2.2 9 3.3 2.6 10 3.6 3.0 We would like to know whether there is a linear relationship between the high school GPA and the college freshmen GPA, and we would like to be able to predict the freshmen GPA, if we know that the high school GPA of another student is, say, 3.4. Provide the two requested scatter plots for this data (put college freshman GPA on the Y (vertical) axis!). a) What would be your approximate 95% prediction interval for question (g)? b) Show your scatterplot with the predicted trend line below
A dietitian wants to test if on the average a person’s cholesterol level will be lowered if their diet is supplemented with a certain mineral. Six subjects have their cholesterol level tested before taking this mineral and again after taking this mineral for a 3 months. The measured cholesterol levels are listed in the table below: Level Before Mineral 210 235 208 190 172 244 Level After Mineral 190 170 210 188 173 228 When doing a Hypothesis Test to test this dietitian's claim the Degree of Freedom used and the computed P-value are A.) Degree of Freedom = 10 and P-value = 0.1349 B.) Degree of Freedom = 9.6562 and P-value = 0.1354 C.) Degree of Freedom = 5 and P-Value = 0.1688 D.) Degree of Freedom = 5 and P-value = 0.0844
The line of best fit through a set of data isy=21.974+1.021xy=21.974+1.021xAccording to this equation, what is the predicted value of the dependent variable when the independent variable has value 140? Y=
identify the independent variable, the dependant variable and the unit of analysis of the following statement Whitfield, D.L., Kattari, S.K., Langenderfer-Magruder, L., Walls, E.N. and Ramos, D.A. (2019). The crossroads of identities: Predictors of harassment among lesbian, gay, bisexual, and queer adults. Journal of the Society for Social Work and Research, 10(2): 237-260. Independent variable(s)______________________________________________________ Dependent variable(s)_______________________________________________________ Unit of analysis_______________________________________________________
Does anyone else want to take a swipe at this problem? I responded that this was the wrong solution... and yet, no follow up. Nobody reached out, nobody reviewed it, nothing. What is happening? Can anybody review this, and maybe submit it in a format that can be followed? The response should y(x)=___________
A scientist claims that there is a linear relationship between a lake’s flow rate and its runoff factor. The scientist collected data and used the data to test the claim that there is a linear relationship at a significance level of α=0.05α=0.05. The scientist tested the following hypotheses. H0: β1=0 Ha: β1≠0 The scientist found a p-value of 0.02 for the test. Which of the following is a correct conclusion about the scientist’s claim? A. The null hypothesis is rejected since 0.02<0.05. There is sufficient statistical evidence to suggest that there is a linear relationship between a lake’s flow rate and runoff factor. B. The null hypothesis is not rejected since 0.02<0.05. There is sufficient evidence to suggest that there is a linear relationship between a lake’s flow rate and runoff factor. C. The null hypothesis is rejected since 0.02<0.05. There is not sufficient evidence to suggest that there is a linear relationship between a lake’s flow rate and runoff factor. D.…