Question

A researcher has designed the relationship between the salaries of selected employees of an organization (shown...

A researcher has designed the relationship between the salaries of selected employees of an organization (shown as "EARN" in $/hour) and their years of education (shown as "YRSEDUC", in years) as hereunder. A total number of (i) employees were selected for this study:

EARN(i) = B(0) + B(1)  + YRSEDUC(i) + u(i)

Moreover, by applying this model on a database, the researcher found that the GRETL result shows the slope coefficient of the regression line as B(1) = 0.39

Using the above findings, answer the following questions:

A-Comment about the possible relationship between the two variables.

B-How do you interpret the slope coefficient of 0.39

Business   Economics   
0 0
Add a commentTranscribed image text
Next >

Homework Answers

Answer #1

0 0
Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Log In

Sign Up

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
A researcher has designed the relationship between the salaries of selected employees of an organization (shown...
A researcher has designed the relationship between the salaries of selected employees of an organization (shown as "EARN" in $/hour) and their years of education (shown as "YRSEDUC", in years) as hereunder. A total number of (i) employees were selected for this study: EARN(i) = B(0) + B(1) YRSEDUC(i) + u(i) Moreover, by applying this model on a database, the researcher found that the GRETL results shows the "coefficient of determination"= 0.130537 (under 5% level of significance) Using the above...
A researcher has designed the relationship between the salaries of selected employees of an organization (shown...
A researcher has designed the relationship between the salaries of selected employees of an organization (shown as "EARN" in $/hour) and their years of education (shown as "YRSEDUC", in years) and their age (shown as "AGE" in years) and their gender (shown as the binary variable "MALE", which "MALE"=0 indicates a male employee, and "MALE"=0 otherwise) as hereunder. A total number of (i) employees were selected for this study: EARN(i) = B(0) + B(1) YRSEDUC(i) + B(2) AGE(i) + B(3)...
A social scientist would Ilike to analyze the relationship between educational attainment and salary. He collects...
A social scientist would Ilike to analyze the relationship between educational attainment and salary. He collects a sample data, where "Education" refers to years of higher education and "Salary" is the individual's salary in thousands of dollars. The summary statistics are as follow: EDUCATION MEAN 4 ST DEV 2.45 SALARY MEAN 60.34 ST DEV 24    mean st dev 4 2.45 60.34 24.95 According to the data, the correlation coefficient between "Education" and "Salary" is 0.9212 a. Find a linear...
A researcher wants to determine the relationship between the typing speed of administrative assistants at a...
A researcher wants to determine the relationship between the typing speed of administrative assistants at a major university is related to the time that it takes for the admin assistant to learn to use a new software program and may be used to predict learning time. Data are gathered from 12 departments at the university. Dept Typing speed   (words per minute) Learning time   (hours) A 48 7 B 74 4 C 52 8 D 79 3.5 E 83 2 F...
A researcher did a study to investigate the potential relationship between diastolic blood pressure (DBP, dependent...
A researcher did a study to investigate the potential relationship between diastolic blood pressure (DBP, dependent variable) and age (independent variable) for boys 5 to 13 years old. The data were analyzed using a simple linear regression model and the statistical results were as following. Estimate Std. Error t value Pr(>|t|) b0 (Intercept) 49.8844 5.7272 8.710 1.12e-05 b1 for Age 2.1927 0.6025 3.639 \ 0.00541 Residual standard error: 5.552 on 9 degrees of freedom Multiple R-squared: 0.5954, Adjusted R-squared: 0.5505...
In order to be able to predict salaries of middle managers of a large bank, 90...
In order to be able to predict salaries of middle managers of a large bank, 90 individuals were randomly selected, and data for the following variables were collected: Salary = the monthly salary, Educ = the number of years of education, Exper = the number of months of experience, Gender = the gender of an individual; 1 for males, and 0 for females. Excel results of a regression analysis are shown below: Regression Statistics Multiple R 0.8186 R2 0.6700 Adjusted...
To investigate the relationship between the number of years of education of post-high school students (YRSED),...
To investigate the relationship between the number of years of education of post-high school students (YRSED), their high school scores (HSSCORE), the average hourly wages (WAGES), and the unemployment rates (UNEMP), a researcher specified the estimated model: YRSEDUC(I)=7.4451+0.1104HSSCOREI+0.0906WAGESI-0.0391UNEMPI+0.3361BLACKI                 (0.523)    (0.006) (0.048) (0.022) (0.134) R2 = 0.269 , SER=1.556 (values in parentheses are the standard error of coefficients, respectively) The definitions and units of measurement of the variables are as follows: YRSED - the actual number of years of education...
A study was done to look at the relationship between number of vacation days employees take...
A study was done to look at the relationship between number of vacation days employees take each year and the number of sick days they take each year. The results of the survey are shown below. Vacation Days 0 1 4 9 13 13 15 1 6 9 Sick Days 9 12 10 5 5 1 0 6 4 6 Find the correlation coefficient: r=r=   Round to 2 decimal places. The null and alternative hypotheses for correlation are: H0:? r μ...
A store manager wishes to find out whether there is a relationship between the age of...
A store manager wishes to find out whether there is a relationship between the age of her employees and the number of sick days they take each year. The data for the sample follow. Test the hypothesis at α =0.05. Use Table I. Age, x 18 26 39 48 53 58 Days, y 16 12 9 5 6 2 Find the correlation coefficient (r). a. -0.979 b. 0.979 c. 0.911 d. -0.911 he critical values are: a. ±0.811 b. ±0.878...
Rehabilitation therapy. A rehabilitation center researcher was interested in examining the relationship between physical fitness prior...
Rehabilitation therapy. A rehabilitation center researcher was interested in examining the relationship between physical fitness prior to surgery of persons undergoing corrective knee surgery and time required in physical therapy until successful rehabilitation. Patient records in the rehabilitation center were examined, and 24 male subjects ranging in age from 18 to 30 years who had undergone similar corrective knee surgery during the past year were selected for the study. The number of days required for successful completion of physical therapy...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT