This book will give you the critical information you need to create, use, and validate simple predictive models, and it will suggest the types of real-world business problems you can solve with those models.

It is designed to be as simple as possible, providing basic, practical, and immediately applicable information for business users new to the world of predictive modeling.

In summary:

An introduction to and some fundamentals for good analysis
A process outline to make analysis quick and effective
A description of some of the most used predictive models and methods, and how they relate to business questions
Comprehensive “How To” sections, including step-by-step Excel tutorials and common pitfalls to avoid

Our approach is as follows:

First, introduce analysis fundamentals. These are the basics of doing good and accurate analysis, and it will be important to keep these principles in mind as you create predictive models.

Second, explain the process that will allow you to follow some easy, predefined steps to creating your own predictive models. This is a “big-picture” process flow meant to give you a basic procedure to follow no matter what type of predictive model you need to create.

Last, this guide gives you an in-depth look into various predictive modeling techniques, organized according to the type of data you have and the type of questions you’re trying to answer. This section makes up the bulk of the book, and the explanation of each model tells you what the predictive model looks like, what it can be used for, the assumptions necessary to use the model, a process to follow to create it (including step-by-step instructions in Excel), an explanation of some common errors to watch for, and a section on analyzing your results.

The modeling process you will learn is as follows:

1. Choose a predictive model according to the business question.

2. Check to see if all the conditions for the model are met.

3. Carry out the analysis.

4. Check for statistical significance and fit.

5. Validate the predictive model.

6. Refine the predictive model.

The basic models we go over in this text:

General Regression (linear, multivariate, exponential, logarithmic, polynomial, time series)
Logistic Regression
ANOVA (t-test, one and two-way ANOVA)
Chi-Square

These models cover four common prediction cases you will encounter:

Predict a numerical outcome with numerical explanatory variables
Predict a yes or no outcome with numerical explanatory variables
Predict a numerical outcome with categorical explanatory variables
Predict a categorical outcome with categorical explanatory variables

What you will not get in this book:

Complex statistical explanations
Complex math
Complex predictive models (read: machine learning is not covered)
Python, R, or other coding languages used for modeling

What you will get in this book:

Simple statistics
Simple math
Simple predictive models
Modeling procedures using Excel
Suggestions on how to apply these to real business situations

Also, this book may or may not mention wombats.

Rese�a del editor

It is designed to be as simple as possible, providing basic, practical, and immediately applicable information for business users new to the world of predictive modeling.

In summary:

An introduction to and some fundamentals for good analysis
A process outline to make analysis quick and effective
A description of some of the most used predictive models and methods, and how they relate to business questions
Comprehensive “How To” sections, including step-by-step Excel tutorials and common pitfalls to avoid

Our approach is as follows:

First, introduce analysis fundamentals. These are the basics of doing good and accurate analysis, and it will be important to keep these principles in mind as you create predictive models.

The modeling process you will learn is as follows:

1. Choose a predictive model according to the business question.

2. Check to see if all the conditions for the model are met.

3. Carry out the analysis.

4. Check for statistical significance and fit.

5. Validate the predictive model.

6. Refine the predictive model.

The basic models we go over in this text:

General Regression (linear, multivariate, exponential, logarithmic, polynomial, time series)
Logistic Regression
ANOVA (t-test, one and two-way ANOVA)
Chi-Square

These models cover four common prediction cases you will encounter:

Predict a numerical outcome with numerical explanatory variables
Predict a yes or no outcome with numerical explanatory variables
Predict a numerical outcome with categorical explanatory variables
Predict a categorical outcome with categorical explanatory variables

What you will not get in this book:

Complex statistical explanations
Complex math
Complex predictive models (read: machine learning is not covered)
Python, R, or other coding languages used for modeling

What you will get in this book:

Simple statistics
Simple math
Simple predictive models
Modeling procedures using Excel
Suggestions on how to apply these to real business situations

Also, this book may or may not mention wombats.

"Sobre este t�tulo" puede pertenecer a otra edici�n de este libro.

Descripci�n de la librer�a

Equipment for Living is a socially conscious bookstore located in Aliquippa, Pennsylvania. More than just a retail business, we define ourselves as "a business with a conscience" - committed to fostering community development, meaningful employment, and urban revitalization in Western Pennsylvania. OUR MISSION: Equipment for Living operates on the belief that responsible entrepreneurship can be a powerful force for positive change. We provide valuable retail services while creating meaningful work opportunities that serve as sites of training and mentoring. Our Youth Employment Initiative specifically targets local residents aged 16-25, offering employment, skill development, and guidance during the critical transition from youth to adulthood. We measure success not just in profits, but in empowering our employees to pursue their career aspirations and life goals - even when that means moving on to other opportunities. OUR STORY: Founded in 2008 and opening our physical storefront in 2012 after extensive community-led renovations, Equipment for Living has grown from an online book venture into a cornerstone of Aliquippa's revitalization efforts. We've deliberately chosen to establish our business in this former steel town, recognizing that true community poverty isn't just about lacking economic resources - it's about lacking opportunities, connections, education, and hope. OUR INVENTORY: Equipment for Living offers a refreshingly different retail experience from typical chain bookstores. While big-box stores stock only high-demand, profitable bestsellers in predictable arrangements, we curate a wide and constantly evolving selection that reflects the unique character of our community. Our diverse inventory includes books across all genres and eras, audiobooks, CDs, DVDs, VHS tapes, vinyl records, and video games. We embrace the philosophy that "if you only read the books that everyone else is reading, you can only think what everyone else is thinking." While we may not always have the latest bestseller in stock, we guarantee a carefully selected range of high-quality products you won't easily find elsewhere - true equipment for living a rich, thoughtful life.

Ver la p�gina web de la librer�a

Informaci�n empresarial del vendedor

eQuip Books LLC
1001 Franklin Ave, Aliquippa, PA, 15001, U.S.A.

Condiciones de venta y env�o

Condiciones de venta

Derecho a cancelaci�n

Si eres un consumidor puedes cancelar el presente contrato de acuerdo con lo indicado a continuaci�n. Son consumidores las personas f�sicas que act�en con un prop�sito ajeno a su actividad comercial, empresarial, oficio o profesi�n.

Documento de informaci�n al consumidor y usuario sobre el desistimiento

Derecho de desistimiento:

Tiene derecho a cancelar este contrato en un plazo de 14 d�as por cualquier motivo.

El plazo de desistimiento expirar� a los 14 d�as naturales del d�a en que t� o un tercero que hayas indicado, distinto del transportista, adquiera la posesi�n material del �ltimo bien, componente o pieza.

Para ejercer el derecho de desistimiento, deber�s notificarnos a Equipment for Living, 1001 Franklin Ave, 15001, Aliquippa, Pennsylvania, U.S.A., de tu decisi�n de desistir del contrato a trav�s de una declaraci�n inequ�voca (por ejemplo, una carta enviada por correo postal, fax o correo electr�nico). Podr�s utilizar el modelo de formulario de desistimiento que figura a continuaci�n, aunque su uso no es obligatorio. Tienes asimismo la opci�n de cumplimentar y enviar electr�nicamente el modelo de formulario de desistimiento o cualquier otra declaraci�n inequ�voca a trav�s de nuestro sitio web a "Mis pedidos" en "Mi cuenta". Si recurres a esta opci�n, te comunicaremos sin demora en un soporte duradero (por ejemplo, por correo electr�nico) la recepci�n de dicho desistimiento.

Para cumplir el plazo de desistimiento, basta con que la comunicaci�n relativa al ejercicio por tu parte de este derecho sea enviada antes de que venza el plazo correspondiente.

Consecuencias del desistimiento:

En caso de desistimiento por tu parte, te devolveremos todos los pagos recibidos de ti, incluidos los gastos de entrega (con la excepci�n de los gastos adicionales resultantes de la elecci�n por tu parte de una modalidad de entrega diferente a la modalidad menos costosa de entrega ordinaria que ofrezcamos) sin ninguna demora indebida y, en todo caso, a m�s tardar 14 d�as naturales a partir de la fecha en la que se nos informes de tu decisi�n de desistir del presente contrato. Procederemos a efectuar dicho reembolso utilizando el mismo medio de pago empleado por ti para la transacci�n inicial, a no ser que hayas dispuesto expresamente lo contrario; en todo caso, no incurrir�s en ning�n gasto como consecuencia del reembolso.

Podremos retenerte el reembolso hasta haber recibido los bienes, o hasta que hayas presentado una prueba de la devoluci�n de los mismos, seg�n qu� condici�n se cumpla primero. Deber�s devolvernos o entregarnos directamente los bienes a Equipment for Living, Aliquippa, Pennsylvania, U.S.A., sin ninguna demora indebida y, en cualquier caso, a m�s tardar en el plazo de 14 d�as naturales a partir de la fecha en que nos comuniques tu decisi�n de desistimiento del contrato. Se considerar� cumplido el plazo si efect�as la devoluci�n de los bienes antes de que haya concluido dicho plazo. Deber�s asumir el coste directo de devoluci�n de los bienes. Solo ser�s responsable de la disminuci�n de valor de los bienes resultante de una manipulaci�n distinta a la necesaria para establecer la naturaleza, las caracter�sticas y el funcionamiento de los bienes.

Excepciones al derecho de desistimiento:

La entrega de peri�dicos, publicaciones especializadas o revistas con la excepci�n de contratos de suscripci�n; y
La entrega de contenido digital (incluyendo apps, MP3, etc.) que no hubiera sido entregado en un medio tangible (por ejemplo: CD o DVD), si al realizar tu pedido has aceptado que podemos proceder al env�o del producto y que no resulta posible su cancelaci�n una vez comienza la entrega.

Modelo de formulario de desistimiento

(S�lo debe cumplimentar y enviar el presente formulario si desea desistir del contrato)

A la atenci�n de: (Equipment for Living, 1001 Franklin Ave, 15001, Aliquippa, Pennsylvania, U.S.A.)

Por la presente le comunico/comunicamos* que desisto de mi/desistimos de nuestro* contrato de venta del siguiente bien/prestaci�n del siguiente servicio*

Pedido el/recibido el*:

Nombre del consumidor y usuario o de los consumidores y usuarios:

Domicilio del consumidor y usuario o de los consumidores y usuarios:

Firma del consumidor y usuario o de los consumidores y usuarios (solo si el presente formulario se presenta en papel):

Fecha:

* Eliminar en su caso

Condiciones de env�o

Tarifas de env�o en Estados Unidos de America

Tarifas de env�o en Estados Unidos de America
Cantidad del pedido	De 5 a 14 d�as h�biles	De 2 a 5 d�as h�biles
Primer art�culo	EUR 3.47	EUR 6.51

Los plazos de entrega los establecen los vendedores y var�an seg�n el transportista y la ubicaci�n. Los pedidos que pasan por la aduana pueden sufrir retrasos y los compradores son responsables de los aranceles o tarifas asociadas. Los vendedores pueden ponerse en contacto con usted en relaci�n con cargos adicionales para cubrir cualquier aumento en los costes de env�o de los art�culos.