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linear regression in lotteries
hello please linear regression in lotteries
Oct 25, 2017, 8:24 am - dr san - Mathematics Forum

How to use X and Y parameters in Linear regression - Lottery problem
Hello guys! I am Brazilian i am trying to play internal lotteries. I need help to understand HOW linear regression can be useful to apply in lotteries. I ask: How can I use the X and Y variable to create a predictor linear equation ? Lets debate. Kind regards, Igor
Jan 13, 2019, 9:09 pm - Igor1234 - Mathematics Forum

how to use linear regression to forecast the next draw ?
Hello friends , I would like to learn how to use linear regression to lottery game... I know that non linear regression shows consistent results on predictions , but i want to know which value may i insert on X and Y data. the forum doesn't allows me the put a link here , but anyone can read the formulas in Wikipedia Example, this is a little sample of Powerball draws: a-b-c-d-e 9-43-57-60-64 12-20-39-49-69 18-28-62-66-68 How to predict the next draw ? Give me tut
Feb 2, 2017, 8:49 pm - Igor1234 - Mathematics Forum

Nonlinear regression to predict lotteriesReply
Hi all Here are a few pics that shows linear regression. The first pic shows the program for which I am using regression to predict the next value for Rogue positions A to J for my 5-39 game. Each rogue position has 4 possible choices, 0-1-2-3 so each value is expected to show on average around 1 of every 4 plays. The next pic shows a scatter plot which shows the number of shows for each value over 200 games. The next pic shows the value plotted one at a time
Dec 21, 2014, 10:30 pm - RL-RANDOMLOGIC - Mathematics Forum

Nonlinear regression to predict lotteriesReply
Hi destinycreation, I'll try to keep it simple. Linear or nonlinear regression is a mathematic tool to predict time series, i.e a serie of numbers,in many domains as meteorology, economy,etc... Lotto numbers are a time series but scientists think that lottery cannot be forecasted with regression. If you create a graph with your lottery numbers, you'll see a sawtooth like graph. Regression consists in finding the formula of the graph that can represent your numbers, the closest possible
Sep 7, 2014, 1:38 am - bob790 - Mathematics Forum

Powerball Normal Distrubution 55-5Reply
Heres an example of a predition for the Missouri Show Me 5 evening draw using the distrubution table of the draw. The pic above shows the past 30 draws as of 03/21/06 The prediction is for 03/22/06 , results were (7 11 12 30 42) bad one to choose The blue line represents the predition line its a LOWESS (Robust locally weighted regression and smoothing scatterplots) Info on LOWESS LOWESS works by assuming a small segment of any curve can be approximated by a straight line. For ea
Apr 10, 2006, 11:49 pm - Developer - Mathematics Forum

how to use linear regression to forecast the next draw ?Reply
Hello Igor1234, If you can't find what you are looking for in the following link, send a Private Message to the authors of the posts. Posts on Linear Regression Good luck!
Feb 2, 2017, 11:32 pm - Kola - Mathematics Forum

The Wave Matrix - Excel 2007 AddinReply
There are a few ways to look at the Wave Matrix to guess a projection for this type of data. The data we are looking at is a much more familiar line than the other data sets we've been looking at. We can look at a graph of the data and its Linear Regression and see the fairly straight line the data is.
Mar 10, 2013, 3:08 pm - JADELottery - Mathematics Forum

5th Degree Polynomial Wave ProjectionReply
hypersoniq, I have a basic process for finding the Wave Matrix for the Powerball Number 1 to 42. You'll have to goto the following link because the LP editor can't handle the load of information and the formatting. Powerball Number Linear Regression, BMA and Wave Matrix
Jul 31, 2007, 5:29 am - JADELottery - Mathematics Forum

Bidirectional Mean Averaging and The Wave MatrixReply
In making a projection, we need to understand each component. The Regression is the easiest, just extend the Index to the next number in its sequence. For the example I've provided, the next Index value would be 179 and the Linear Regression value would be 1,524.61. Next the Wave Matrix and Remainder Data need to be projected to the next Index value. The Wave Matrix and Regression Data are derived from the Oscillation Data and approximate the individual Wave Components of the Oscillation Data.
Apr 1, 2007, 6:04 pm - JADELottery - Mathematics Forum