Conducting a Multiple Regression using Microsoft Excel Data Analysis Tools

This video demonstrates how to conduct and interpret a multiple linear regression (multiple regression) using Microsoft Excel data analysis tools. Multiple regressions return the contribution of multiple predictor variables on one outcome variable. Predicted values for the outcome variable are calculated using the estimated regression equation.

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43 thoughts on “Conducting a Multiple Regression using Microsoft Excel Data Analysis Tools

  1. Thank you for this video. I spent hours trying to figure it out and got it in about 5 seconds after watching this video. 🙂

  2. Dr Grande, thanks for this video. I have another question: what if we have still 2 inputs but 2 outputs related to 2 inputs? how can we solve such a problem? Also would the results for 2 inputs 1 output model, Standard Error: 101,4823922
    , and Significance F
    : 0,038824662 be acceptable as a good regression or not? thank you.

  3. Thankyou Dr. Grande! your solution was very thorough and you made it effortless for us to learn it.
    One question: does there exist any professional regression tool to predict outcomes with more accuracy? what if the outcome variable is time dependent and result is delayed but not know which factors affect the ? how do we account for that?

  4. You did a very good job. I am a retired math teacher(community college). Until this last week I had no idea of how versatile Excel has become. So, I wanted to see if I could learn how to do multiple regression for purposes of studying Major League Baseball. I had absolutely no idea how to go about using Excel. I followed your video. Bingo! Thank you very much. I wish I could have used this when teaching stat. We just did linear regression(1 independent variable) using TI-84's. The students were required to buy those and were not required to have access to Excel. If I was still teaching, that would change!!

  5. Dr. Grande, thank you. I need to perform a data analysis to predict costs, similar to this model with multiple known Xs (Up to possibly 10) and multiple known Ys. I have conducted models using the LINEST function and the Data Regression Analysis shown here. My problem is some of the Coefficients are coming up negative, which for this purpose is impossible, since all the X variables add to cost. I'm trying to figure out a work-around solution or a new regression model and I am hitting the limits of my brain power…can you or anyone here help me? Thank you.

  6. Dear Dr. Todd, the Statistics I learnt at School was about 40 years ago. At that time, I had no clue where it would prove useful in life. Nor did my Teachers have any clue either – they were merely tasked with holding Statistics Classes, grading us, and moving on to the next batch of Students!

    I went through most of my working life without bothering about Multiple Factor Regression,until it suddenly took on possibilities of becoming significant! And now, I had no way to turn back to School!

    Although I have used Excel constantly throughout my career – even the Data Analysis Pack, it does not come back too easily… Your Video makes it so easy, not just to do a Multiple Factor Regression Analysis, but to understand the important components of the Table that Excel spews out at you!

    All Power to you Sir! Thanks!!

  7. I was looking for clarification on how to apply the coefficients in a multiple regression to predict an outcome and you explained it perfectly, thank you.

  8. mr. todd grande tyvm for helping me out in my times of need! my teacher did not teach me this yet they dared to put it in my weekly homework to try and get me. but they will not thanks to you mr. todd grande. i hold u in high esteem and extraordinary regard

  9. Hi, I wanted to say thank you for this video! I'm taking a stats class right now and the book wasn't great at explaining how to run a regression analysis. This was extremely helpful! Much appreciated!!

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