please answer within 30 minutes. 12. A dummy variable: a. Is an artificial variablegenerated by the researcher via econometricpackages b. Is used to check whether an event,policy, feature causes changes in the value of Y c.Takes on either 0 or 1 d. A and Ce. All the above13. To test whether the partial impact of X 1 on Ychanges for different values of X 2, we include:14. If the impact of X 1 on Y, differs depending onthe initial value that X 1 takes on, we: a. Include aquadratic term in the regression equation b. Aredealing with a non-linear impact of X 1 on Y c. Canstate that X1 has an increasing impact on Y d. A andВe. А and C15. The partial impact of a categorical dummy on Yis16. Dummy Variable trap arises when we include allpossible groups in the regression equation. (True /False)17. The presence of multicollinearity betweenregressors does not violate ceteris paribusinterpretation. (True / False)18. When comparing two nested models, aresearcher runs a/ntest:19. When comparing two non-nested models, onecan rely on:

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Answered: 12. A dummy variable: a. Is an…

College Algebra

7th Edition

ISBN:9781305115545

Author:James Stewart, Lothar Redlin, Saleem Watson

Publisher:James Stewart, Lothar Redlin, Saleem Watson

Chapter1: Equations And Graphs

Section: Chapter Questions

Problem 10T: Olympic Pole Vault The graph in Figure 7 indicates that in recent years the winning Olympic men’s...

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Does Table 1 represent a linear function? If so, finda linear equation that models the data.
Find the equation of the regression line for the following data set. x 1 2 3 y 0 3 4
Olympic Pole Vault The graph in Figure 7 indicates that in recent years the winning Olympic men’s pole vault height has fallen below the value predicted by the regression line in Example 2. This might have occurred because when the pole vault was a new event there was much room for improvement in vaulters’ performances, whereas now even the best training can produce only incremental advances. Let’s see whether concentrating on more recent results gives a better predictor of future records. (a) Use the data in Table 2 (page 176) to complete the table of winning pole vault heights shown in the margin. (Note that we are using x=0 to correspond to the year 1972, where this restricted data set begins.) (b) Find the regression line for the data in part ‚(a). (c) Plot the data and the regression line on the same axes. Does the regression line seem to provide a good model for the data? (d) What does the regression line predict as the winning pole vault height for the 2012 Olympics? Compare this predicted value to the actual 2012 winning height of 5.97 m, as described on page 177. Has this new regression line provided a better prediction than the line in Example 2?
What does the y -intercept on the graph of a logistic equation correspond to for a population modeled by that equation?
"Does the relationship between the independent variable and the dependent variable changeas a function of the sector in which an organization operates?" is a core question that we willask in this class. Which of the following variables is best suited to answer this question?a.Correlator variableb.Independent variablec.Moderator variabled.Dependent variable
9. Identify the dependent variable in the statement below " the cost of a smartphone depends on its brand and model"
Identify the variables - Students who spend more time playing video games and working each week will have a lower GPA. 3. State the two quasi-independents variable and the one dependent variable (make sure to label each as QIV or DV)
For each of the following pairs of variable, identify the dependent and independent variable.
Your younger brother, a fourth form practical geography student wishes to test whether there could be some relationship between annual visits to a local market by all residents surrounding that market. After a well-designed field study he obtains the following figures: Number of visits per year 21 13 19 18 17 17 14 20 10 11 Residence distance from market (KM) 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 From the information above, what is the dependent variable and what is the explanatory variable? Using (i) above, obtain the regression equation of Yi on Xi. Hence, estimate the residence distance from the market (in KM) if the number of visits are 16 visits Sketch your results in (ii) above. What conclusion can you draw from your sketch?
For each description of data, identify theW’s, name the variables, specify for each variable whether itsuse indicates that it should be treated as categorical or quantitative, and, for any quantitative variable, identify the units inwhich it was measured (or note that they were not provided) Babies Medical researchers at a large city hospital investigating the impact of prenatal care on newborn healthcollected data from 882 births during 1998–2000. Theykept track of the mother’s age, the number of weeks thepregnancy lasted, the type of birth (cesarean, induced,natural), the level of prenatal care the mother had (none,minimal, adequate), the birth weight and sex of the baby,and whether the baby exhibited health problems (none,minor, major)
2. An aerobic exercise instructor submitted to the shipping company the data given in the following table, which shows the recommended maximum exercion heart rate for individuals of the given ages. See table below. If the Chief engineer is 62 years old, predict. naximum exercise heart rate. Age (x years) Maximum heart rate (y beats per minute) 20 40 60 170 153 136 A. What is the coefficient of correlation of the age and the maximum rate of the chief engineer? a. -100 b. 100 C. -0.99 d. 0.65
kindly solve the letter a. show your full solution.

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12. A dummy variable: a. Is an artificial variable generated by the researcher via econometric packages b. Is used to check whether an event, policy, feature causes changes in the value of Y c. Takes on either 0 or 1 d. A and Ce. All the above