Search results “Data analysis excel regression”

Simple Linear Regression using Microsoft Excel

Views: 222093
Jalayer Academy

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

Using Data Analysis Toolpak Correlation analysis and interpreting the results

Views: 13538
Tobin Porterfield

Knowledge Varsity (www.KnowledgeVarsity.com) is sharing this video with the audience.

Views: 130305
KnowledgeVarsity

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

This video uses Anderson 11e Chapter 15 #4 to walk through regression output and explain how to interpret it.

Views: 215615
Jason Delaney

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

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

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

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

Learn how to conduct multiple linear regression using Excel data analysis toolpak

Views: 109220
KnowledgeVarsity

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

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

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

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

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

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

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

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

How to find a regression line equation and analyze residuals using Excel's Data Analysis Tool Pack. Larson 9.2.33

Views: 1260
The Stats Files - Dawn Wright Ph.D.

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

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

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

This video is about RegressionAnalysis

Views: 75276
David Orndorff

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

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

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

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

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

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

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

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

A brief explanation of the output of regression analysis. For more information visit www.calgarybusinessblog.com

Views: 441711
Matt Kermode

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 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

Regression example using World Bank Data

Views: 7469
Philip Truscott

In this video you will learn how to perform multiple linear regression in Excel
http://analyticuniversity.com/

Views: 1823
Analytics University

THIS VIDEO HELP IN SOLVING REGRESSION QUESTIONS.
AND MUSIC IS TAKEN FROM YOUTUBE.

Views: 11079
VIKASTIWARI2HELPU

A Regression Tutorial Using the World Values Survey

Views: 4926
Philip Truscott

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

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

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

Overview of adding a trend line to a chart along with regression analysis in Excel

Views: 189648
Larry Corman

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
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