- published: 30 Sep 2015
- views: 8092
Using the -predict- postestimation command in Stata to create predicted values and residuals.
How to use pKa values to predict the position of equilibrium for organic acid-base reactions. Watch the next lesson: https://www.khanacademy.org/science/organic-chemistry/organic-structures/acid-base-review/v/stabilization-of-a-conjugate-base-electronegativity-new?utm_source=YT&utm_medium=Desc&utm_campaign=organicchemistry Missed the previous lesson? https://www.khanacademy.org/science/organic-chemistry/organic-structures/acid-base-review/v/using-a-pka-table?utm_source=YT&utm_medium=Desc&utm_campaign=organicchemistry Organic Chemistry on Khan Academy: Carbon can form covalent bonds with itself and other elements to create a mind-boggling array of structures. In organic chemistry, we will learn about the reactions chemists use to synthesize crazy carbon based structures, as well as the a...
www.STEADFASTtutoring.com | One of the main reasons for the the idea of lines of best fit is that we need to be able to predict values (e.g., number of expected bird species in a given area) that we're not able to directly observe, based on real values that we actually have already observed. Here's how it works!
How did Lego survive a near-total financial ruin? Why is Lyft way more popular that Uber amongst drivers? And how did Marvel gain a second wind some 60 years after it was founded? Read more at BigThink.com: http://bigthink.com/videos/chris-zook-how-to-predict-a-company-crisis-uber-lego-marvel-comics Follow Big Think here: YouTube: http://goo.gl/CPTsV5 Facebook: https://www.facebook.com/BigThinkdotcom Twitter: https://twitter.com/bigthink Y'know, overload – just think of all we see of Uber in the paper. We found four things that we called the “west winds” that hit rapidly growing companies and push them off track, and we called them the west winds. And one was having revenues growing much faster than you can grow talent. And just think of Uber, which has had as many as 13 of its t...
This video looks at the activity series (ease of oxidation of metals) & the Reduction Potential table of half-reactions determined against the hydrogen electrode (V = 0.000). Potential is also defined to include terms that are used interchangeably when determining the "Cell Potential."
Remember that ENTROPY can also be thought of as DISORDER. Gas has the highest entropy in IB chemistry, so any reaction that produces gas will have a positive value of delta S, whereas any reaction that uses up gas will have a negative delta S. This is an oversimplification, e.g. what happens if both product and reactants are gaseous -- watch the vid!
7th in a series of films about stage 3 redox chemistry. Explains how the list of standard reduction potentials can be used to predict whether or not a certain redox reaction will take place.
Part 2: http://www.youtube.com/watch?v=5C012eMSeIU&feature=youtu.be Part 3: http://www.youtube.com/watch?v=kcfiu-f88JQ&feature=youtu.be This is Part 1 of a 3 part "Time Series Forecasting in Excel" video lecture. Be sure to watch Parts 2 and 3 upon completing Part 1. The links for 2 and 3 are in the video as well as above.
the hd video tutorial illustrates basic principle of log table..and helps to proceed in calculation without log table
Get the app here: https://itunes.apple.com/us/app/magic-kit-pro-learn-perform/id1168450796 Visit Alakazapps now: https://alakazapps.com Follow on twitter: https://twitter.com/alakazapps A legitimate modern miracle. Cipher 52 will not only predict the value of a freely chosen card. It will also reveal its position in a mixed deck. A deck of playing cards is cut several times by a spectator. You then dribble the cards asking the spectator to call stop. This is a genuinely free choice and they can even change their mind. The chosen card is remembered and the spectator is invited to cut the deck several times. You then draw attention to a mysterious cipher on your iPhone. You demonstrate it can be set to display a single card and it's position in the deck. You reset the cipher wit...
Learn how to apply the predictive modeling process in Spotfire in order fit and validate a model which is then used to predict a numerical data column. Try Spotfire for free today: http://spotfire.tibco.com/trial For more great resources like this head over to our Learning Resources page: http://spotfire.tibco.com/learn Want some help? Head over to the TIBCO Community: http://community.tibco.com/products/spotfire
This video show you how to use the TREND function to predict future monthly sales (from one to multiple months) based on historical values. Feel free to provide a comment or share it with a friend! ------------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------- Check out my Blog: http://exceltraining101.blogspot.com
4.1.6 Predict whether a compound of two elements would be ionic from the position of the elements in the periodic table or from their electronegativity values. Elements far from each other on the periodic table are likely to be ionic, since those far apart elements probably have a high difference in electronegativity (electron love). A difference of 1.7 of above is considered ionic.
Data science is one of the fastest-growing disciplines in terms of academic research, student enrollment, and employment. Python, with its flexibility and scalability, is quickly overtaking the R language for data-scientific projects. Keep Python data-science concepts at your fingertips with this modular, quick reference to the tools used to acquire, clean, analyze, and store data. This one-stop solution covers essential Python, databases, network analysis, natural language processing, elements of machine learning, and visualization. Access structured and unstructured text and numeric data from local files, databases, and the Internet. Arrange, rearrange, and clean the data. Work with relational and non-relational databases, data visualization, and simple predictive analysis (regressions,...
We're going to predict the closing price of the S&P 500 using a special type of recurrent neural network called an LSTM network. I'll explain why we use recurrent nets for time series data, and why LSTMs boost our network's memory power. Coding challenge for this video: https://github.com/llSourcell/How-to-Predict-Stock-Prices-Easily-Demo Vishal's winning code: https://github.com/erilyth/DeepLearning-SirajologyChallenges/tree/master/Image_Classifier Jie's runner up code: https://github.com/jiexunsee/Simple-Inception-Transfer-Learning More Learning Resources: http://colah.github.io/posts/2015-08-Understanding-LSTMs/ http://deeplearning.net/tutorial/lstm.html https://deeplearning4j.org/lstm.html https://www.tensorflow.org/tutorials/recurrent http://machinelearningmastery.com/time-series...
Using Causal Values and Estimates for the Intercept, B0, and slope, B1, to predict response variable values
Subscribe for new videos: www.youtube.com/channel/UCIWCSw8jNs9SPetsVPo1WQQ Share this video: https://youtu.be/TJDjljiWjYo Follow me on Facebook: https://goo.gl/gnnhRj The problem: The bar graph below (see video) represents the miles per gallon associated with a hybrid vehicle. (For questions 7 – 8) 7. Which vehicle gets the least miles per gallon? Toyota RAV4-EV 8. Predict what would be the mileage per gallon associated with the vehicle Hybrid U. The solution: 7. Toyota RAV4-EV 8. Between 84 and 95 mpg.