Dummy variable in regression analysis

Assignment Help Basic Statistics
Reference no: EM1393364

First, describe in your own words (no direct quotes, please) what a dummy variable is and its purpose in regression analysis. Secondly, provide an example of where you might use a dummy variable from your own professional experience. Thirdly, briefly describe how you would implement a dummy variable in a data table you intend to apply regression analysis to. And, finally, provide a short discussion about the course project data set: where would you envision using a dummy variable in this data set?

Note that most of the answers to the questions are relative short and simple. So, be responsive and complete, but as succinct as possible. The idea is for you to explain the essential information regarding the topic of interactions.

Reference no: EM1393364

Questions Cloud

Difference in dna sequence among species : There is evidence that many of differences in DNA sequence among species are not adaptive. Other differences among species, both in DNA and in morphology
Descriptive and inferential statistics : Differences in Descriptive and Inferential Statistics and analyze the differences between descriptive and inferential statistics.
Method of stickiness advantageous : The gecko is a reptile that has amazing ability to climb smooth surfaces even glass. Recent discoveries indicate that geckos stick to smooth surfaces via van der Waals interactions in septae on their feet and smooth surface.
Sampling mean and population mean : Drug manufacturer knows that for a certain antibiotics, the average number of doses ordered for a patient is 20. Steve Simmons, a salesman for the company
Dummy variable in regression analysis : First, describe in your own words (no direct quotes, please) what a dummy variable is and its purpose in regression analysis. Secondly, provide an example of where you might use a dummy variable from your own professional experience.
Find required alien for dna synthesis and mitosis : A young researcher at National Institute Health and interested in eye development, and hoping to find a cure to blindness in your lifetime
Modelling and coefficient of determination : The managers of a brokerage firm are interested in finding out if the number of clients a broker brings into the firm affects the sales generated by the broker.
Probability and fail to reject the null hypothesis : An environmentalist estimate that the mean waste recycle by adults in the country is more than 1 pound per person per day. You want to test this claim, you find that the mean waste recycled per person per day for a random sample of adults in the c..
Determination in regression analysis : What is the percentage of variation in the dependent variable explained by the variation in the independent variable.

Reviews

Write a Review

Basic Statistics Questions & Answers

  Test for a significant difference

Use α =.01 and test for a significant difference. What is your conclusion?

  Using p-value approach-interpret the value of p-value

(A) At the 0.05 level of significance, use the six step critical value approach to hypothesis testing to try and prove that the 2004 proportion has increased. (B) Use the 5 step p-value approach. Interpret the meaning of the p value.

  Evaluate the average queue length

Random number generation based on discrete distribution and evaluate the average queue length, waiting time, and percentage utilization for each system.

  Scatter plot for variation in starting salaries

Based on this sample information find out what percent of variation in starting salaries is described by GPA, and find out the equation that would forecast salary from GPA. Give a scatter plot.

  Anova procedure is a statistical approach

The ANOVA procedure is a statistical approach for determining whether or not:

  Confidence interval for the population mean

Based on this sample information, develop a 90 percent confidence interval for the population mean yearly premium.

  Compare the two forecasts by utilizing mad

Calculate a 3-month moving average forecast for months 4 through 9 also Compare the two forecasts by utilizing MAD. Which forecast appears to be more accurate.

  Entering data into spss

Enter data into SPSS (use two columns: one for coding {0, 1, 2, 3, 4, 5} and one for DV)

  Pearson product-moment correlation coefficient

Critical Thinking: Discuss the implications of: magnitude (from 0 to 1); sign ( + or -); and probability versus causality for the Correlation Coefficient (also known as the Pearson Product-Moment Correlation Coefficient).

  Determining confidence interval for proportion of all voters

Determine a 95% confidence interval for proportion of all voters in favour of candidate.

  Determining the null and alternate hypotheses

Assume that in a hypothesis test with null hypothesis H 0  : μ = 14.0 at a = 0.05, that a value of 13.0 for the sample mean results in the null hypothesis not being rejected. That corresponds to a confidence interval result of:

  Confidence interval estimation

Your statistics instructor wants you to determine a confidence interval estimate for the mean test score for the next exam.

Free Assignment Quote

Assured A++ Grade

Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!

All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd