19th Ave New York, NY 95822, USA

统计作业代写Statistics代考|An Alternative to the LRM: Logistic Regression

my-assignmentexpert™ 统计Statistics作业代写，免费提交作业要求， 满意后付款，成绩80\%以下全额退款，安全省心无顾虑。专业硕 博写手团队，所有订单可靠准时，保证 100% 原创。my-assignmentexpert™， 最高质量的统计Statistics作业代写，服务覆盖北美、欧洲、澳洲等 国家。 在代写价格方面，考虑到同学们的经济条件，在保障代写质量的前提下，我们为客户提供最合理的价格。 由于统计Statistics作业种类很多，同时其中的大部分作业在字数上都没有具体要求，因此统计Statistics作业代写的价格不固定。通常在经济学专家查看完作业要求之后会给出报价。作业难度和截止日期对价格也有很大的影响。

my-assignmentexpert™ 为您的留学生涯保驾护航 在统计Statistics作业代写方面已经树立了自己的口碑, 保证靠谱, 高质且原创的统计Statistics代写服务。我们的专家在统计Statistics代写方面经验极为丰富，各种统计Statistics相关的作业也就用不着 说。

• Date Analysis数据分析
• Actuarial Science 精算科学
• Bayesian Statistics 贝叶斯统计
• Generalized Linear Model 广义线性模型
• Macroeconomic statistics 宏观统计学
• Microeconomic statistics 微观统计学
• Logistic regression 逻辑回归
• linear regression 线性回归

统计作业代写STATISTICS代考|probabilities and placing

Binary logistic regression accomplishes this feat by transforming the regression equation through the use of the logistic function, represented in Equation 16.1. 5
$$p(y=1)=\frac{1}{1+\exp \left[-\left(\alpha+\beta_{x} x_{1}+\cdots+\beta_{k} x_{k}\right)\right]}$$
The part of the denominator in the equation in parentheses is similar to the LRM we’ve used in earlier chapters but is transformed in a specific way. The advantage of this function is that it guarantees that the predicted values range from zero to one, just as probabilities are supposed to do. To illustrate, Table $16.1$ shows several negative and positive predicted values from an LRM and their values after running them through the function. If we placed more extreme values in the function it would return numbers closer to zero or one, but, consistent with probabilities, they would never fall outside the boundary of $[0,1]$.

统计作业代写STATISTICS代考|hypothetical to two variables

An example closer to the interests of the research community involves the following scenario. Suppose we conduct a survey of adolescents and find that $25 \%$ report using marijuana and $75 \%$ report not using marijuana in the past year. The probability of marijuana use ${P$ (marijuana use) $}$ among adolescents in the sample is $0.25$. What are the odds of marijuana use?
$$\text { Odds }_{m j}=\frac{p(\text { marijuana use })}{1-p(\text { marijuana use })}=\frac{0.25}{1-0.25}=0.33 \text { or } \frac{1}{3}$$
Equation $16.3$ implies that for every adolescent who uses marijuana, we expect three adolescents who do not use marijuana or, stated differently, three times as many adolescents did not use marijuana as did use marijuana in the past year.

Restricting our attention to only one variable is seldom interesting. Let’s extend the hypothetical to two variables. We’ll treat adolescent past-year marijuana use as the outcome variable. To keep it simple, we’ll use an indicator variable that is coded $0=$ female and $1=$ male. We now have four outcomes, with males and females who used or did not use marijuana. If we’re interested only in probabilities, we may compare the two: $P$ (male marijuana use) and $P$ (female marijuana use) and see if one is higher. But keeping our interest on the odds, let’s compare the odds of marijuana use among male and female adolescents.

统计作业代写STATISTICS代考|PROBABILITIES AND PLACING

p(和=1)=11+经验⁡[−(一种+bXX1+⋯+b到X到)]

统计作业代写STATISTICS代考|HYPOTHETICAL TO TWO VARIABLES

赔率 米j=p( 大麻使用 )1−p( 大麻使用 )=0.251−0.25=0.33 要么 13

matlab代写

MATLAB是一个编程和数值计算平台，被数百万工程师和科学家用来分析数据、开发算法和创建模型。

MATLAB is a programming and numeric computing platform used by millions of engineers and scientists to analyze data, develop algorithms, and create models.