bachelor's degree. The workers' ages ranged from 25 to 34 years. The data set also containsinformation on the region of the country where the person lived, marital status, and number ofchildren. LetAHE=average hourly earningsCollege=binary variable (1 if college, O if high school)Female-binary variable (1 if female, O if high male)Age-age in yearsNortheast-binary variable (1 if Region=Northeast, O otherwise)Midwest-binary variable (1 if Region=Midwest, O otherwise)South=binary variable (1 if Region=South, O otherwise)West-binary variable (1 if Region=West, O otherwise)Results of Regressions of Average Hourly Earnings on Sex and Education Binary Variablesand Other Characteristics Using 2015 Data from the Current Population SurveyDependent variable: average hourly earnings (AHE).Regressor(1)(2)(3)College (X;)10.47(0.29)10.44(0.29)10.42(0.29)Female (X)-4.56(1.29)-4.57(0.29)-4.69(0.29)Age (X)0.61(0.06)(0.06)Northeast (N)0.74(047)Midwest (X)-1.54(0.40)South (X)0.44(0.37)Intercept18.150.110.33(1.47)(0.19)(1.46)Summary Statistics and Joint TestsF-statistic testing regional effects = 09.32SER12.1512.0312.01Ra1650.1820.185717871787178Use the regression results in column (3): Juanita is a 28-year-old female college graduate from theSouth. Molly is a 28-year-old female college graduate from the West. Construct a 95% confidenceinterval for the difference in expected earnings between Juanita and Molly.O 1-4.33, 4.33]O 1.41, 2.831O 19.90, 11.041O -1.17, 0.29]

Th confidence interval is used to estimate the interval range within which the true parameter of the…

Answered: Results of Regressions of Average…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Sunspots and the DJIA Listed below are annual sunspot numbers paired with annual high values of the Dow Jones Industrial Average (DJIA). Sunspot numbers are measures of dark spots on the sun, and the DJIA is an index that measures the value of select stocks. The data are from recent and consecutive years. Use a 0.05 significance level to test for a linear correlation between values of the DJIA and sunspot numbers. Is the result surprising?
A bank wanted to find out whether the number of loan applications received are influenced by the current loan interest rate. The manager selected 11 monthly periods for which different interest rates applied and recorded the number of loan applications received. (a) Identify the independent variable and the dependent variable. (b) Show the data graphically in a scatter plot. What relationship is observed? ( c) Calculate the correlation coefficient between the rate of interest and the number of loan applications received. Comment on the strength of the association.
Report the correlations between the three independent variables (age, educ and Protestant) and your dependent variable (childs). Which category had the correlation that was the weakest?
Cellular telephones and life expectancy A survey of the world’s nations in 2010 shows a strong positive correla-tion between percentage of the country using cell phones and life expectancy in years at birth.a) Does this mean that cell phones are good for yourhealth?b) What might explain the strong correlation?
23:01 Done A S Male (X2) = binary variable (1 if male, 0 if female) Age (X3) = age in years North (X4) = binary variable (1 if Region = North, 0 otherwise) South (X5) = binary variable (1 if Region = South, 0 otherwise) East (X6) = binary variable (1 if Region = East, 0 otherwise) Using the regression results in column (1): The calculated test statistic is_ The table below contains three estimated regressions, which were computed in 2007 using data on employees. The data set used for the regressions consisted of information on over 10,000 full-time, full-year workers. Employees were surveyed on their earnings and whether they had graduated high school or not. The data set also contains information on the region of the country where the person lived (North / East / South / West), and the individual's gender and age. (plz write in 2 decimal places) is the null hypothesis rejected at the 5% level of significance?_ DO For the purposes of this quiz: AHE = average hourly earnings Graduated…
A study is conducted to investigate the association between income level and political party affiliation in the USA. Income level has 5 levels: Lowest (lowest 20-th percentile), low, middle, high, and very high (top 20-th percentile). Political party has 3 categories: Democratic (D), Independent (I), and Republican (R). A baseline category logit multinomial is fit on the 3 response categories using covariate of income level as ordinal (with scores 1, 2, 3, 4, and 5 for the categories lowest, low, middle, high and very high respectively). Base category of response is Independent. The fitted model is log(ˆπD/πˆI ) = 3.3 − 0.2x and log(ˆπR/πˆI ) = 1.0 + 0.3x, where x=1,2,3,4,5 (poverty levels as numeric/ordinal), πD is the probability of being Democrat, πI is the probability of being Independent, and πR is the probability of being Republican. a. Comparing the chances/probability of being Republican to Independent, interpret the effect of income level increases on the odds (of being…
Analysis of Variance results: Where: Age > 5Responses: AgeFactors: Sex Response statistics by factor Sex n Mean Std. Dev. Std. Error female 121 10.490083 4.2222704 0.38384277 male 155 9.0806452 3.0091656 0.241702 ANOVA table Source DF SS MS F-Stat P-value Sex 1 134.98939 134.98939 10.466692 0.0014 Error 274 3533.79 12.897044 Total 275 3668.7794 Tukey HSD results (95% level) female subtracted from Difference Lower Upper P-value male -1.4094375 -2.2670907 -0.55178425 0.0014 In one complete sentence, interpret your confidence interval. Make sure in the interpretation it is clear the direction of the difference (i.e. which gender weighs more and by how much. Explain why a confidence interval provides more information to a tiger researcher than the results of a hypothesis test
10 (11) Tourism is extremely important to the economy of Florida. Hotel occupancy is an often-reported measure of visitor volume and visitor activity (Orlando Sentinel, May 19, 2018). Hotel occupancy data for February in two consecutive years are as follows. Current Year Previous Year Occupied Rooms 1,476 1,482 Total Rooms 1,800 1,900 What is the estimated proportion of hotel rooms occupied each year (to 2 decimals)? Current year Previous Year c. Conduct a hypothesis test. What is the p-value (to 4 decimals)? Use Table 1 from Appendix B. p-value = Using a level of significance, what is your conclusion? We ______ that there has been an increase in the hotel occupancy rate. d. What is the 95 %confidence interval estimate of the change in occupancy for the one-year period (to 4 decimals)? ___ to ___
Can you answer #8?
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A social scientist would like to analyze the relationship between educational attainment(in years of higher education) and anual salary (in $1,000s). He collects data on 20 individuals. A portion of the data is as follows: Salary Education 43 52 1 : 2 40 : 0 A.What is the predicted salary for an individual who completed 6 years of higher education? (Round coefficient estimates to at least 4 decimal places and final answer to the nearest whole number.) B:Find the sample regression equation for the model: Salary = β0 + β1Education + ε. (Round answers to 2 decimal places.) Data Salary Education 43 1 52 2 80 9 42 3 62 1 50 8 104 10 41 0 35 5 57 1 91 4 47 4 66 8 59 7 141 11 41 0 77 2 67 4 131 8 40 0 SUMMARY OUTPUT Regression Statistics Multiple R 0.68022955 R Square 0.462712241 Adjusted R Square 0.432862921 Standard Error…
As part of the preliminary analysis of the data provided in Table D, the researcher produced the scatter plot below. Average taings, mo = e Scatter plot of Sales vs Earnings (IV) (V) (VI) A. (I), (II), and (VI) B. (II), (III), and (V) C. (III), (IV), and (V) D. (II), (IV) and (V) 40 . 50 Average Annual Sales 60 Which THREE of the following assumptions are inferable or discernible from the scatter plot? (1) Whether the sample of 20 MSMEs is representative of the population of MSMEs in the Western Cape province. Whether the assumption of a linear relationship between the independent variable and the dependent variable has been met or violated. Whether the assumption of normality of the independent variable and the dependent variable has been met or violated. The absence or presence of outliers in the data set. The direction of the relationship between the independent variable and the dependent variable. The significance of the relationship between the independent variable and the…

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