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Multiple Regression
We seek to gain an understanding of what socio-economic characteristics of a particular state make it more susceptible to a larger number of property crimes. Data and methodology By using multiple regression analysis, the report is in pursuit of obtaining statistical evidence for or against commonly held beliefs regarding causality of various factors and crime.

6 pages (1500 words)
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Statistical Inference and Regression
Statistics can as well be considered as a mathematical body that pertains to the collecting, analyzing, interpretation, and presenting of data. Because of having empirical roots with the focus on applications, it is also considered as a distinct mathematical science but not just a branch of mathematics.

10 pages (2500 words)
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Description of Step-Wise Multiple Regression statistic test
Introduction
Stepwise regression is a partial-automated process of constructing a model by sequentially including or eliminating variables based only on the t-statistics values of their predicted coefficients. It is specifically functional for straining through large amounts of possible independent variables and/or calibrating a model by thrusting variables in or out.

10 pages (2500 words)
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Credit Risk Analysis - Application of Logistic Regression
It is similar to a linear regression model but is suited to models where the dependent variable is dichotomous. Logistic regression coefficients can be used to estimate odds ratios for each of the independent variables in the model.” In order to run binary logistic regression model to find out the dependence of various variables on Credit Risk, the following steps are taken: 1.

7 pages (1750 words)
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Multiple regression model
The real house price is the price of the house adjusted for inflation; it is usually lower than the nominal house prices. Several factors are responsible for the decline or rising of the real housing prices. Among these factors are: population, GDP, unemployment and interest rates.

7 pages (1750 words)
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Social Anxiety Report - Linear Regression
The study revealed that not all these factors have linear relationship with social anxiety score. Some factors affected social anxiety in a negative way while others influenced social anxiety in a positive way. The data was collected from a group of 300 students with the resultant being recorded and analyzed through SPSS and other statistical tools for data analysis.

5 pages (1250 words)
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Linear Regression Exercises
For instance, when the number of hours worked increase so does the income. The correlation between the variables was moderate and positive, r = 0.3, If r is close to 0, it implies that there is less or no relationship between the variables (Bryman and Cramer, 1990).

5 pages (1250 words)
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Multiple Regression
It measures the strength of association and varies between 0 and 1. It signifies the proportion of the total variation in Y that is accounted for by the variation in X
Adjusted R square is the coefficient of multiple determination is adjusted for the number of independent variables and the sample size to account for diminishing returns After first few variables the additional independent variables do not make much contribution to the dependent variable.

10 pages (2500 words)
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Social Anxiety Report - Linear Regression
s such as age, gender, own relationship, friends, social media, grade number, grade score, rural/urban background, number of siblings and parent relationship status. The study revealed that not all these factors have linear relationship with social anxiety score. Some factors

5 pages (1250 words)
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Interpretation
Cosmopolitanism, according to the reading, implies the idea that human beings, Japanese in this scenario, originated from a common

2 pages (500 words)
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