Plug In For Regression Analysis Excel Mac

#Plug In For Regression Analysis Excel Mac Pro Allows#

In Excel, running a linear regression with multiple dummies is the same as if you just had many independent variables. After converting your variables to 0s and 1s, you need to download the Analysis ToolPak to run the regression. This should be under Tools > Data Analysis (or in 2007 it appears on the Data Tab and Analysis Group).Explore a comprehensive statistical analysis software platform designed for ease of use. Run advanced and descriptive statistics, regression analysis.The powerful statistical modelling & analysis you'd expect from an expensive statistics package.В» Regression Analysis. Regression Analysis in Excel You Dont Have to be a Statistician to Run Regression Analysis. The purpose of regression analysis is to evaluate the effects of one or more independent variables on a single dependent variable.Regression arrives at an equation to predict performance based on each of the inputs.Statistical process control and quality improvement tools to meet customer expectations and keep them satisfied.Load the Analysis ToolPak in Excel.

Plug In For Regression Analysis Excel Mac Pro Allows

In the Manage box, select Excel Add-ins and then click Go. In the Add-Ins box, check the Analysis ToolPak check box, and then click OK. If Analysis ToolPak is not listed in the Add-Ins. StatPlus:mac Pro allows Microsoft Excel for Mac users to perform all forms of data analysis from the very basics to complex analysis, including as non-parametric and regression analysis, survival analysis, and a wide variety of other methods.

I wanted to plot the employees on a scattergram by salary as the dependant variable and date of hire as the independant variable. I ran the numbers and it looks like they are paying most of their staff at about 80% of the mid point. I am comparing what their staff is currently making (annual salary) to a salary survey to see if they are paying their staff appropriately. I hope I can ask you a few more questions.I am working on a compensation analysis for a company. I am so appreciative of your help.

Do we use regression for that? I'm sorry if my questions are not making sense. Any other advice/suggestions on where I need to use regression for a compensation study would be very much appreciated.After we analyize their current salary, we might want to propose a new salary structure. Do I use regression to show the outliers? If so, how?5. Can a scattergram be used to show external equity or is it only for internal equity? If it can be used for external equity, how do I do that?4. How do I put in date of hire? Do I have to count up the number of years they have worked for the company or can I use month/day/year?3. How do I get the lines in there, the 80%, 100%, 120%?2.

Explore the formulas to know how these are computed. You are welcome to call me at 31.17th February 2013 From United States, ChesterfieldI have updated the Excel spreadsheet to include both the 80% and 120% lines. If you are able to call me it might be easier.

You mentioned 80% of midpoint. However, please note that there is a difference between Year of Hire and Year in Position.2. This is call Tenure Analysis. You have to use the actual year. Which salary survey are you using? By what methodology?If you want to use the date of hire for your analysis, just change column where you have your independent variable will do.

For external analysis, the survey provider must consolidate the midpoint equations of all the survey participants to provide a Market Charts. Any data points that falls outside these two controlling lines are outliers.Regression analysis can be used for internal and external analysis. They are also your 'controlling lines'. Both the 80% and 120% lines are your maximum and minimum lines. It is also your line of best fit and your current pay practice.

You have to talk to your survey provider again.Lastly, other uses for the internal equity analysis using scattergrams/regression:2. The Market Formulae will be used to develop this salary structure. However, your market data must also be on a regression basis. This will ensure apple to apple comparison.Yes, you can use a Regression to conduct a salary structure. Instead of using Age or Tenure, use Job Size or Job Point or Job Grade. Your survey provider should be able to provide you not only the Market Charts but also the Market Formulae.Separately, using Age or Tenure Analysis is not the best approach to determine pay competitiveness or to determine overpaid/underpaid jobs.

We should use year in position not year of hire. If so, is this because the salary is at least two standard deviations from the mean?B. If I am understanding you correctly are you saying that regression analysis can be used for internal analysis to find the OUTLIERS and OUTLIERS are determined by looking at the salaries that fall above or below the 80% and the 120% line?A. I am not sure what you mean by market chart?4.

The data then is downloaded into a spreadsheet, the spreadsheet automatically calculates the mean, median etc. The survey takes each person at 'University X' and compares that persons salary with the average of other peoples salary in that same title at the other 15 Universities. When I run a report I ask it to compare 'University X' (that I am working with) against 15 other Universities that they feel are similar to theirs in size, location, etc. The survey is filled with data from various Universities from all over the United States. I am using a salary survey from CUPA (which stands for College and Universal Professional Association for Human Resources). If we were able to get more data/confounding factors for the people in CUPA so that we were comparing apples to apples, can you tell me how we would do multiple regression analysis with that data? Can you send me a spreadsheet with multiple regression? Can you explain how multiple regression in this format a little more for me?18th February 2013 From United States, Chesterfield1.

So, CUPA averages, for example, everyoneвЂ™s salary in a 'Professor' position for the 15 'peer Universities'. Typically a compensation philosophy is that employers want to pay their employees close to 80% of the midpoint. 80% of the midpoint in this case is referring to the CUPA survey. I have attached a sample for your reference.2.

If a company decides that their pay policy is Market Q3, it basically means Q3 is the midpoint and it is 100%. P90 / Q3 / MD / AVG / Q1 / P10 are also midpoint values of the market. If the Professor at 'University X' is paid within 80% of the average of all 15 peer Universities, then they consider themselves to be paying their Professors 'fairly'.Autumn Jane: Referring to the Position Analysis, the different market percentiles i.e.

The market index analysis makes your salary planning very much easier.3. Any job(s) that has an index of between 115% to 120% are call вЂњceiling jobsвЂќ as they will max out or reach the max range in near future. For this index, any job(s) that fall below 80% is your underpaid job(s) and any job(s) that falls above the 120% is your overpaid job(s).

The only concern is whether the 80% and 120% is the right range your company wants to adopt. If I am understanding you correctly are you saying that regression analysis can be used for internal analysis to find the OUTLIERS and OUTLIERS are determined by looking at the salaries that fall above or below the 80% and the 120% line?Autumn Jane: Yes, your understanding is correct. It is used to compare your overall Pay Practice against the Market.4.

The decisions depend very much on the company pay philosophy, market demand and supply, etc.5.