How does understanding the correlation between variables help us understand regression?

SKU: assim7 Category:

What is the effect of each statistically significant variable?

 

Order Now

1.What are the conventional levels of significance set by most researchers? What do these values mean (i.e., p values of .05 and .01)?

 

2.If the result of Z-test reveals that the sample and population are different, what does this tell us about the null hypothesis? What does this suggest about the sample?

 

3.When would it be appropriate to use a t test for independent samples? What is the key piece of information you must know in order to decide?

 

4.What does homogeneity of variance mean? How can it affect your results?

 

5.When would it be appropriate to use a t test of dependent samples? How is this test different from the t test of independent samples?

 

6.What is the test statistic associated with ANOVA? How is this test statistic similar to the t value?

 

7.What if you have more than two groups and you want to see if differences exist among the means of those groups? What is the appropriate statistical analysis?

 

8.What is an interaction effect? Where interaction effects would be found within the source table? How should they be interpreted?

 

9.How do you interpret a p value associated with a correlation coefficient?

 

10.How does understanding the correlation between variables help us understand regression?

 

Excel data analysis questions (50 pts, 5pts each)

Attached please find an Excel survey data file of 1994 Office of Personnel Management (OPM94), with variable names and definition. Please use the dataset to answer the following questions. When possible, please insert Excel outputs in your answers.

 

1.Test whether the mean salary for all federal employees is $36,050 at α=0.05.Please specify the null and alternative hypotheses and explain your finding.

 

2.Test whether the mean salary for all female federal employees is $29,000 at α=0.05.Please specify the null and alternative hypotheses and explain your finding.

 

3.Test the difference between male and female employees’ average salaries. Are the means different? Please construct a 95% confidence interval for the difference and explain your finding.

 

4.Test whether the average salaries are the same among races. Please explain your finding.

 

5.If assuming salary depends on gender, minority, years of education, and years of federal service, please run the regression and provide the regression equation with estimated coefficients. And please use this regression equation for question 7-10.

 

6.Find the coefficient of determination, R2. How fit is the regression model?

 

7.Which regression coefficient(s)is statistically significant? What is the effect of each statistically significant variable?

 

8.What is the expected salary of a female white employee with 16 years of education and federal experience? Please show the calculation.

 

9.Are there any other variables that could be included? Please test 1-2 additional variables listed in the dataset and explain your finding.

 

Download (XLS, 203KB)

 

Writing your homework and assignments all on your own is a difficult task. So, Assignments4u has made it easy for students by helping them in writing their assignments. Assignments4u will assist you in completing your tasks, and you can approach us with all your assignment, homework, and essay writing requirements.

We have over 4350+ experienced writers working as experts in different streams of study. Get all your academic doubts clarified and take pride in learning subjects like history, math’s or law. Our assignment help and essay help is available in countries like USA, Australia, New Zealand, Singapore and many more. Get programming assignment help, corporate finance assignment help, marketing assignment help or else business management assignment help in exchange for a nominal price.

Reviews

There are no reviews yet.

Be the first to review “How does understanding the correlation between variables help us understand regression?”

Your email address will not be published. Required fields are marked *

Sorry no more offers available

When assignments gets tough, get tougher

Want a fresh solution like this one? 
We are available 24/7
ORDER NOW
0 Shares
+1
Share
Tweet
Pin
Call Back