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68 results for "regression analysis"
"REGRESSION ANALYSIS: with SPSS for Freshers" By Oluwagbenga Odunfa
eBook (PDF): $7.50
Regression Analysis with SPSS for freshers featuring the amazing story of the man that cheated death gives a deep insight into what Regression Analysis in research is all about, encompassing the... More > different Regression Analysis commonly used in applying regression to data.The skill is expected to help in handling observational studies especially the case-control and cohort studies where ‘cause and effect size’ relationships are highly desired in testing hypotheses.Both theory and application were blended to equip readers with an understanding of the basic principles needed to apply regression model-building techniques in various fields of study, including Management and the Health Sciences. This amazing book laden with incredible delivery style and holding astonishing promises is hereby recommended to you.< Less
Multiple Linear Regression Analysis By Homework Help Classof1
eBook (PDF): $5.99
In a study of housing demand, the county assessor is interested in developing a regression model to estimate the market value (i.e., selling price) of residential property within her jurisdiction. In... More > addition, the assessor feels that there may be other important variables that will affect the market value of the house such as the size of the house, number of rooms, age and whether the house has an attached garage. These data for 15 randomly selected houses arc shown in the attached table.< Less
Linear Regression By Homework Help Classof1
eBook (PDF): $1.99
Linear regression was the first type o0f regression analysis to be studied rigorously and to be used extensively in practical applications. This is so because the model which depends linearly on... More > their unknown parameters are much easier to fit than the models are non linearly related to their parameters and because their statistical properties of the resulting estimators are much easier to determine.< Less
Simple vs. Multiple Regression By Homework Help Classof1
eBook (PDF): $1.99
The difference between simple and multiple regression is similar to the difference between one way and factorial ANOVA. Like one-way ANOVA, simple regression analysis involves a single independent,... More > or predictor variable and a single dependent, or outcome variable. This is the same number of variables used in a simple correlation analysis.< Less
The Linear Regressions Models By Homework Help Classof1
eBook (PDF): $1.00
Linear regression was the first type o0f regression analysis to be studied rigorously and to be used extensively in practical applications. This is so because the model which depends linearly on... More > their unknown parameters are much easier to fit than the models are non linearly related to their parameters and because their statistical properties of the resulting estimators are much easier to determine.< Less
Simple Linear Regression Model By Homework Help Classof1
eBook (PDF): $1.99
This article considers the relationship between two variables in two ways: (1) by using regression analysis and (2) by computing the correlation coefficient. By using the regression model, we can... More > evaluate the magnitude of change in one variable due to a certain change in another variable. For example, an economist can estimate the amount of change in food expenditure due to a certain change in the income of a household by using the regression model.< Less
Simple Linear Regression with R/RStudio By Christopher Breach
eBook (PDF): $15.93
A simple guide to performing simple linear regression using RStudio assuming no previous knowledge of R.
MATLAB for Beginners - Second Edition, A Gentle Approach - with Seven New Chapters on Statistics, Regression Analysis, and Differential Equations By Peter Kattan
eBook (PDF): $19.99
This book is written for people who wish to learn MATLAB for the first time. The book is really designed for beginners and students. In addition, the book is suitable for students and researchers in... More > various disciplines ranging from engineers and scientists to biologists and environmental scientists. The material presented is very easy and simple to understand - written in a gentle manner. The topics covered in the book include arithmetic operations, variables, mathematical functions, complex numbers, vectors, matrices, programming, graphs, solving equations, an introduction to calculus, statistics, regression analysis, and differential equations. There are also over 280 exercises at the ends of chapters for students to practice. Detailed solutions to all the exercises are provided in the second half of the book. The Second Edition comes with seven new chapters that include two chapters on basic statistics,two chapters on regression analysis, and three chapters on differential equations.< Less
Using Linear Regression to Calculate Complex Factors By Homework Help Classof1
eBook (PDF): $5.99
We have looked at break-even calculations, scatter plots for estimating demand information, and trends in revenue so far. In each of these, we simplified the analysis to a straight line. While this... More > is useful, sometimes these data are more complex. They may be a curved line, or instead of only one item for the slope, such as variable costs, there may be several factors involved in the estimate. So demand, for example, may be based on price, convenience, or quality. How does a linear regression allow us to better estimate trends, costs, and other factors in complex situations?< Less
HLT 362V Module 5 Correlation Regression and Chi Square Excel Worksheet By Nic Klaus
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To get this tutorial follow this link: http://dodohelp.com/HLT-362V-Grand-Canyon/HLT-362V-Module-5-Correlation-Regression-and-Chi-Square-Excel-Worksheet SYSTOLIC AND DIASTOLIC BLOOD PRESSURE OF... More > FEMALES The following table represents systolic and diastolic blood pressure measurements of 40 females. A) Use the Excel Analysis ToolPak to find the linear correlation coefficient for the systolic and diastolic measurements. B) Use the Excel Analysis ToolPak to determine the linear regression equation that uses the systolic pressure to predict the diastolic pressure.< Less