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Excel - Simple Linear Regression
 
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Simple Linear Regression using Microsoft Excel
Views: 222093 Jalayer Academy
Basic Excel Business Analytics #48: Data Analysis Regression feature
 
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Download file from “Highline BI 348 Class” section: https://people.highline.edu/mgirvin/excelisfun.htm Learn about how to automatically creates statistics for Linear Regression using the Data Analysis Regression feature. See how to automatically create statistics such as: Correlation, R Squared, Standard Error, Slope, Intercept, SST, SSR, SSE, F Test, Test Statistic, t Test Statistics, p-values, predicted vales, residuals, Residual plots and more. Install: File, Options, Add-ins, Data Analysis Toolpak. Download Excel File Not: After clicking on link, Use Ctrl + F (Find) and search for “Highline BI 348 Class” or for the file name as seen at the beginning of the video.
Views: 24206 ExcelIsFun
Excel 2016 Regression Analysis
 
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Using Data Analysis Toolpak Correlation analysis and interpreting the results
Views: 13538 Tobin Porterfield
Simple Linear regression analysis using Microsoft Excel's data analysis toolpak and ANOVA Concepts
 
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Knowledge Varsity (www.KnowledgeVarsity.com) is sharing this video with the audience.
Views: 130305 KnowledgeVarsity
Linear Regression in Excel
 
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This video shows you how run a multivariate linear regression in Excel. It also explains some common mistakes people make that results in Excel being unable to perform the regression. It also shows how to enable the Data Analysis Toolpak, although the screen capture software glitched a bit when I recorded this, so I recommend you watch the video entitled "Enabling the Data Analysis Toolpak". Author: David Switzer
Views: 513282 SCSUEcon
Excel Walkthrough 4 - Reading Regression Output
 
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This video uses Anderson 11e Chapter 15 #4 to walk through regression output and explain how to interpret it.
Views: 215615 Jason Delaney
Multiple Linear Regression using Excel Data Analysis Toolpak
 
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LearnAnalytics demonstrates use of Multiple Linear Regression on Excel 2010. (Data Analysis Toolpak). Data set referenced in video can be downloaded at www.learnanalytics.in/blog/wp-content/uploads/2014/02/car_sales.xlsx
Views: 58934 Learn Analytics
Excel Regression Analysis Output Explained
 
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Overview of the Excel regression analysis output. For more detail, go to: http://www.statisticshowto.com/excel-regression-analysis-output-explained/
Views: 61538 Stephanie Glen
Prediction in Simple Regression
 
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Using some made up ice cream sales vs. temperature data, I demonstrate how to calculate and interpret a point prediction and 90% prediction interval using MS Excel 2007
Views: 73162 ProfTDub
How to do Linear Regression with Excel Data Analysis Toolpak
 
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http://alphabench.com/data/linear-regression.html Demonstration of linear regression in Excel using the data analysis toolpak, with a discussion of the output generated from the regression tool. This video was shot in Excel 2007, but the technique is the same for Excel 2008, 2010, 2013 and 2016. All statistics and interpretations are the same regardless of Excel version. It would work for Excel 2011 if Microsoft hadn't removed the Data Analysis Toolpak from that version. By the way, if you are trying to do this in Excel 2011 for MAC OS you can download a free companion software called StatPlusLE. Linear regression is one of the most common statistical techniques in use for making predictions and forecasting behavior. This Tutorial explains the notable statistics and how to use the linear model in making predictions. See our visual take on regression: http://alphabench.com/data/visual-linear-regression.html
Views: 106029 Matt Macarty
Multiple Linear regression analysis using Microsoft Excel's data analysis toolpak and ANOVA Concepts
 
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Learn how to conduct multiple linear regression using Excel data analysis toolpak
Views: 109220 KnowledgeVarsity
Regression output using Data Analysis in Excel
 
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How to install Data Analysis Addin in Excel: https://youtu.be/SqpSwxJ9t2k This video shows how to generate simple linear regression statistics using the Data Analysis Addin in Excel –intercept, slope, regression equation, SSR, SSE, SST, correlation coefficient (r), coefficient of determination (R-square), and standard error of estimate.
Views: 8693 Joshua Emmanuel
Multiple Regression Interpretation in Excel
 
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This video provides an example of interpreting multiple regression output in excel. The data set comes from Andy Field's "Discovering Statistics Using SPSS" (2009, 3rd Edition).
Views: 314182 TheWoundedDoctor
Excel Regression Output - How You Can Quickly Read and Understand It
 
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How to quickly read and understand the important parts of the output of a Regression done in Excel. You be able to immediately recognize and understand the four most important parts of the output of an Excel Regression. Become an Excel Statistical Master !
Views: 224865 excelmasterseries
Residual Analysis of Simple Regression
 
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I take the ice cream sales vs. temp data, run a regression, and produce residual (and fitted values and standardized residuals output) and two residuals plots - to check the assumptions of independence and constant variance. Since the data is a time-series, one of the plots produced is residuals vs. time to check if independence over time is satisfied.
Views: 78847 ProfTDub
Basic Excel Business Analytics #56: Forecasting with Linear Regression: Trend & Seasonal Pattern
 
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Download file from “Highline BI 348 Class” section: https://people.highline.edu/mgirvin/excelisfun.htm Learn: 1) (00:11) Forecasting using Regression when we see a trend and belief the trend will extend into the future. Will will predict outside the Experimental Region with the Assumption is that trend continues into future. 2) (00:53) Forecast a Trend using Simple Liner Regression. We use the Data Analysis Regression Feature. 3) (03:22) Learn how to use FORECAST function. 4) (08:57) Forecast a Seasonal Pattern using Multiple Regression and three Categorical Variables for quarter using Multiple Linear Regression. We use the Data Analysis Regression Feature. 5) (12:12) VLOOKUP & MATCH functions with Mixed Cell References to populate new categorical variable columns with the Boolean ones and zeroes. 6) (19:53) Forecast a Trend with a Seasonal Pattern using Multiple Regression and three Categorical Variables for quarter and one quantitative variable using Multiple Linear Regression. We use the Data Analysis Regression Feature. 7) Download Excel File Not: After clicking on link, Use Ctrl + F (Find) and search for “Highline BI 348 Class” or for the file name as seen at the beginning of the video.
Views: 60087 ExcelIsFun
Conducting a Multiple Regression using Microsoft Excel Data Analysis Tools
 
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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.
Views: 11876 Dr. Todd Grande
Spreadsheets: Regression Analysis
 
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Microsoft Excel is a great tool for manipulating data. One under used tool is regression analysis, which helps determine the relationship between a series of independent variables and a series of dependent variables. In this video, Professor Yunker shows how to install the Data Analysis Toolpak and then he uses regression analysis to estimate housing prices based on the number of bedrooms, bathrooms and other numeric factors.
Views: 1229 professoryunker
Basic Excel Business Analytics #51: Testing Significance of Regression Relationship with p-value
 
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Download file from “Highline BI 348 Class” section: https://people.highline.edu/mgirvin/excelisfun.htm Learn How to do Hypothesis Testing to Test the significance to a linear relationship using the Data Analysis Regression feature. Download Excel File Not: After clicking on link, Use Ctrl + F (Find) and search for “Highline BI 348 Class” or for the file name as seen at the beginning of the video.
Views: 13414 ExcelIsFun
9.2.23 Simple Linear Regression with Residuals - Excel Data Analysis Toolpack
 
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How to find a regression line equation and analyze residuals using Excel's Data Analysis Tool Pack. Larson 9.2.33
Microsoft Excel data analysis tool for statistics mean, median, hypothesis, regression
 
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This video covers a few topics using the data analysis tool. After this video you should be able to: a) Find and use data analysis on excel to calculate statistics b) Calculate the mean, median, mode, standard deviation, range and coefficient variation on a variable set of data in excel. c) Conduct a confidence interval in excel. d) Complete a T-test in excel to help complete a hypothesis test. e) Conduct a linear regression analysis output from excel and create a scatter diagram.
Views: 90791 Me ee
stock returns regression in excel
 
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Download excel file to go with video: http://www.codible.com/pages/84 Analyze stock price data using Microsoft Excel to plot returns, and plot a regression line between the stock returns. Some good books on Excel and Finance: Financial Modeling - by Benninga: http://amzn.to/2tByGQ2 Principles of Finance with Excel - by Benninga: http://amzn.to/2uaCyo6
Views: 74685 Codible
Regression in Excel using the Data Analysis Toolpak add-in
 
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Excel isn't brilliant at running statistical tests, but the Data Analysis Toolpak add-in does make it a bit easier. If you don't have this add-in you'll need to add it in first.
Views: 3348 BrunelASK
How to perform a Regression Analysis on Microsoft Excel 2016 on a Mac
 
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This video is about RegressionAnalysis
Views: 75276 David Orndorff
Logistic Regression Using Excel
 
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Predict who survives the Titanic disaster using Excel. Logistic regression allows us to predict a categorical outcome using categorical and numeric data. For example, we might want to decide which college alumni will agree to make a donation based on their age, gender, graduation date, and prior history of donating. Or we might want to predict whether or not a loan will default based on credit score, purpose of the loan, geographic location, marital status, and income. Logistic regression will allow us to use the information we have to predict the likelihood of the event we're interested in. Linear Regression helps us answer the question, "What value should we expect?" while logistic regression tells us "How likely is it?" Given a set of inputs, a logistic regression equation will return a value between 0 and 1, representing the probability that the event will occur. Based on that probability, we might then choose to either take or not take a particular action. For example, we might decide that if the likelihood that an alumni will donate is below 5%, then we're not going to ask them for a donation. Or if the probability of default on a loan is above 20%, then we might refuse to issue a loan or offer it at a higher interest rate. How we choose the cutoff depends on a cost-benefit analysis. For example, even if there is only a 10% chance of an alumni donating, but the call only takes two minutes and the average donation is 100 dollars, it is probably worthwhile to call.
Views: 164223 Data Analysis Videos
How To Calculate Beta on Excel - Linear Regression & Slope Tool
 
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Learn how to calculate Beta on Microsoft Excel with this step-by-step tutorial! This simple, yet easy to understand video provides you with the ability to calculate the beta of any company’s stock price. Beta is typically used by investors to evaluate the risk of investing into a certain stock. Many financial institutions provide a list of company’s beta, but they can sometimes be inaccurate. Calculating Beta on your own is the only way to be sure you are receiving the correct information. The worst part about using a pre-calculated beta provided by someone else is that you are unaware of the time period that was taken into consideration when calculating that beta. By calculating it yourself you will know the exact span of time that your beta includes and you will have much more flexibility when calculating the desired time span. Send me something! (Letters are more fun than emails!) PO Box 7329 NEW YORK, NY 10116
Views: 25898 Nate O'Brien
Correlation and Regression with Excel
 
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This demonstration shows you how to get a correlation coefficient, create a scatterplot, insert the regression line, and get the regression equation for two variables. This demonstration corresponds to the Introduction to Statistics, Think & Do textbook, by Scott Stevens (http://www.StevensStats.com).
Views: 59331 Scott Stevens
How To... Perform Simple Linear Regression in Excel 2010
 
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Use Excel to generate a Simple Regression Equation and to add a line of best fit to compare two sets of data. Excel also gives you an R-squared value to show how strong the correlation is between the two sets of data.
Views: 173471 Eugene O'Loughlin
Multiple Regression - Dummy variables and interactions - example in Excel
 
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In this video, I present an example of a multiple regression analysis of website visit duration data using both quantitative and qualitative variables. Variables used include gender, browser, mobile/non-mobile, and years of education. Gender and mobile each require a single dummy variable, while browser requires several dummy variables. I also present models that include interactions between the dummy variables and years of education to analyze intercept effects, slope effects, and fully interacted models. In short, I cover: - multiple category qualitative variables - dummy variables - intercept effects - slope effects - dummy interactions I hope you find it useful! Please let me know if you have any questions! --Dr. D.
Views: 231217 Jason Delaney
Regression in Excel | Simple Linear Regression | Data Science on Excel
 
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In this video you will learn how to perform Simple Linear Regression in Excel. For all our videos & Study packs visit: http://analyticuniversity.com/
Views: 4461 Analytics University
Nonlinear Regression in Microsoft Excel
 
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A three parameter (a,b,c) model y = a + b/x + c ln(x) is fit to a set of data with the Excel solver add-in. This tutorial walks through the process of installing the solver, setting up the objective (normalized sum of squared errors), and adjusting the parameter values to minimize the SSE.
Views: 126414 APMonitor.com
Excel 10 (Problem 16) Experimental data analysis, curve fitting, linear regression, trendline.
 
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Experimental data analysis, curve fitting, linear regression, trendline. Lone Star College CyFair ENGR 2304 Programming for Engineers Example Problems: Excel Problem 16.
Views: 2217 Yiheng Wang
Explanation of Regression Analysis Results
 
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A brief explanation of the output of regression analysis. For more information visit www.calgarybusinessblog.com
Views: 441711 Matt Kermode
Simple Regression Basics
 
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A simple regression analysis is done using made up data of ice cream sales related to high temperature for a period of twenty days. A fitted line plot is first constructed, the slope and intercept are interpreted, then I run a regression, clean up the output, and interpret a few more regression statistics.
Views: 316318 ProfTDub
How to Calculate a Correlation (and P-Value) in Microsoft Excel
 
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How to calculate the Correlation using the Data Analysis Toolpak in Microsoft Excel is Covered in this Video (Part 2 of 2). Check out our brand-new Excel Statistics Text: https://www.amazon.com/dp/B076FNTZCV In the text we cover the p-value for Correlation and much more. YouTube Channel: https://www.youtube.com/user/statisticsinstructor Channel Description: For step by step help with statistics, with a focus on SPSS (with Excel videos now too). Both descriptive and inferential statistics covered. For descriptive statistics, topics covered include: mean, median, and mode in spss, standard deviation and variance in spss, bar charts in spss, histograms in spss, bivariate scatterplots in spss, stem and leaf plots in spss, frequency distribution tables in spss, creating labels in spss, sorting variables in spss, inserting variables in spss, inserting rows in spss, and modifying default options in spss. For inferential statistics, topics covered include: t tests in spss, anova in spss, correlation in spss, regression in spss, chi square in spss, and MANOVA in spss. New videos regularly posted. Videos series coming soon include: multiple regression in spss, factor analysis in spss, nonparametric tests in spss, multiple comparisons in spss, linear contrasts in spss, and many more. Subscribe today! YouTube Channel: https://www.youtube.com/user/statisticsinstructor
Views: 534948 Quantitative Specialists
Correlation and Regression in MS Excel 2013
 
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Correlation and Regression in MS Excel 2013
Regression example using World Bank Data
 
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Regression example using World Bank Data
Views: 7469 Philip Truscott
Linear Regression in Excel | Data Science | Machine Learning in Excel
 
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In this video you will learn how to perform multiple linear regression in Excel http://analyticuniversity.com/
Views: 1823 Analytics University
HOW TO SOLVE REGRESSION IN EXCEL (hindi)
 
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THIS VIDEO HELP IN SOLVING REGRESSION QUESTIONS. AND MUSIC IS TAKEN FROM YOUTUBE.
Views: 11079 VIKASTIWARI2HELPU
A Regression Tutorial Using the World Values Survey
 
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A Regression Tutorial Using the World Values Survey
Views: 4926 Philip Truscott
Multiple Regression Explained with Excel
 
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This tutorial covers the basic concepts of Multiple Regression. Before watching this tutorial please make sure you are familiar with the basic concepts of simple linear regression, if you need a review, go to https://youtu.be/BLRjywb0mes. In this tutorial we discuss introduce the multiple regression model and discuss what its parameters mean and how to test the significance of the slopes of each independent variable using a t test. This tutorial also shows how to conduct regression analysis using Excel, and the output for multiple regression hypothesis tests for individual slopes is examined using the t tests statistic and the p value approach. The significance of r and the adjusted r squared values is also discussed. The ANOVA table and F test are not covered in this tutorial.
Views: 39423 Learn Something
Basic Excel Business Analytics #50: Introduction to Multiple Regression, Data Analysis Regression
 
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Download file from “Highline BI 348 Class” section: https://people.highline.edu/mgirvin/excelisfun.htm Learn: 1) (00:13) Estimated Multiple Regression Equation. 2) (00:58) Example 1: Predict Annual Credit Card Charges based on Annual Income (x2) and Number of Years Post High School Eduction (x2) 3) (07:31) Example 2: Predict Risk of Stroke based on Age (x1), Blood Pressure (x2) and Smoking (Categorical Variable) (X3) Download Excel File Not: After clicking on link, Use Ctrl + F (Find) and search for “Highline BI 348 Class” or for the file name as seen at the beginning of the video.
Views: 7295 ExcelIsFun
Nonlinear Regression Using Excel
 
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Nonlinear Regression Using Excel
Views: 38865 Sam Hijazi
Hypothesis test for regression with missing data using Excel 2010
 
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In this video, I show you how to do create a scatterplot of numerical data with a trendline, interpret the coefficients of the regression equation, and conduct a t-test to determine whether the regression is significant. A key point is that scatterplots allow you to obtain the proper regression equation when you have missing data, whereas the other methods discussed in the previous video will not work in the ways you might think. Another way to obtain the regression equation is to create a pivot table and filter out missing data there, but I don't describe how to do this in this video.
Views: 2243 Andrew Stroffolino
Trend Lines and Regression Analysis in Excel
 
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Overview of adding a trend line to a chart along with regression analysis in Excel
Views: 189648 Larry Corman
Multiple regression in Excel using the Data Analysis add-in
 
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The Data Analysis add-in gives you a lot more information than using =LINREG() by hand, and does not require using an array formula, but does not update the results if the data changes. To see how to add in the Data Analysis pack, see http://www.youtube.com/watch?v=sknFUKvR2Fs This video used to be titled "Multivariate Regression...", but technically that refers to having more than one "Y" or output variable, while "Multiple Regression" refers to having more than one "X" or input or predictor variable. But many people confuse the two terms.
Views: 25051 aross1633

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