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大家好
Hello, everyone
欢迎回到轻松学统计课堂
Welcome back to the Easy Learning Statistics Class
接下来我们介绍区间估计的
Now, we will introduce the basic principles
基本原理
of interval estimation
上一节我们介绍了
In the last lecture
点估计的有关知识
we talked about point estimation
虽然点估计非常地简单 方便
Although point estimation is very simple, convenient
容易操作
and easy to operate
但是它也存在着
it also exists
非常明显的缺点
very obvious disadvantages
第一个缺点是
The first disadvantage is that
它不能够帮助我们反映
it doesn't help us reflect
这一次估计的误差有多大
how much the error of the estimate is
因为我们直接用的
Because we use directly
就是某一次观测的具体的值
the value of a particular observation
去代表了总体的参数值
to represent the parameter value of the population
那误差有多大是不能反映的
The magnitude of the error is not reflected
其实我们知道某一次抽样
Well, we know that between a sample
和总体参数之间
and the population parameter
必然会存在着或大或小的误差
there must be errors, big or small
第二个
Second
既然它不能反映估计的误差
since it doesn't reflect the error of the estimates
它也无法反映估计的精确程度
nor does it reflect the accuracy of the estimates
或者叫准确程度
or the degree of accuracy
我到底是很接近总体的真实值
Whether it is close to the real value of the population
还是离总体的真实值很远
or it is far from the true value of the population
这些我都没有办法来反映
cannot be reflected
所以点估计
So for point estimation
它在进行操作的时候
in practical operation
有两个非常明显的缺点
there are two very obvious disadvantages
那接下来我们就来介绍
Next, we’ll introduce
区间估计的基本原理
the basic principle of interval estimation
所谓区间估计
So called interval estimation
是利用样本统计量和抽样分布
uses sample statistics and sampling distribution
来估计总体参数的可能区间
to estimate the possible range of population parameters
这个方法是1934年的时候
This method is a theory of interval estimation
由统计学家奈曼所创立的
developed by statistician Naiman
一种区间估计的理论
in 1934
在正式开始介绍区间估计的
Before we begin the formal introduction to the basic principles
基本原理之前
of interval estimation
我想和大家先来做一个游戏
I want to play a game with you first
这个游戏我们日常生活里边
This game may also be encountered
可能也会遇到
in our daily life
比如我下面请大家来猜猜
For example, I'm going to ask you to guess
我今天来上课
When I come to the class today
包里带了多少钱
how much money do I have in my bag
那我想你得到这个命题以后
I think after you get this proposition
你就开始来想
you will begin to think
老师今天包里会带多少钱呢
how much money the teacher has in his bag today
有同学可能就会想
Some students my think
老师 508块
it is 508 yuan
或者同学给出299块
or some students may think it is 299 yuan
等等这样的一些数字
or other figures
都可能是我今天包里所带的钱
Any of these could be the money I have in my bag today
但是我想这个时候你自己心里
But I don't think you have much confidence
也没多少底
in yourself at the moment
你给出来的数字能猜中
Can your figure guess correctly
我今天包里带的钱吗
the money I have in my bag today
你直接给出一个数字
Just give me a number and guess how much money I have in my bag
来猜我包里有多少钱
To guess how much money I have in my bag
这就相当于是点估计
Is equivalent to point estimation
用一个值去估计另一个值
Use one value to estimate another
那有一些同学
Some students
可能是另外的形式
may use other forms
来猜我包里带了多少钱
To guess how much money I have in my bag
他可能是
he may do it
以一个区间的形式来给出的
by giving an interval
比如你可能给出一个区间
For example, you might give an interval
0到1万块
from 0 to 10,000 yuan
这个时候你可能信心十足地说
At this point you may say with confidence
老师 我有百分之百的把握
Teacher: I'm 100 percent sure that
今天你来上课
when you give the lecture, today
包里不会超过一万块钱
you have no more than 10,000 yuan in your bag
恭喜你 答对了
Congratulation, your answer is right
老师来上个课
When I give the lecture
真的不会带一万块钱在包里
I really don't carry 10,000 yuan in my bag
那这个时候我肯定就说
I'll say it then
你给的区间这么宽
the interval you gave is so wide
当然就可以
which, of course
把我包里带的多少钱给加(包括)进去
can include the money in bag
我说你给的区间宽的意思是
What I mean by saying your interval is wide is that
你的结果不准确
your result is not accurate
如果我要你提高准确度
If I want you to improve accuracy
那这个时候你可能
you may
就想把区间要缩短一点点
qant to shorten the interval a little bit
那你就可能给出另外一个区间
Then you might give me another interval
老师 我猜你今天包里带的钱
Teacher: I guess the money in your bag today
在50到500块之间
is between 50 and 500 yuan
对 这一次比0到1万块的区间
Compared with the interval from 0-10,000 yuan
要短很多 要准确得多了
this interval is much shorter and much more accurate
但是这一次你还敢说
But this time, do you dare to say
你有100%的把握吗
you are 100% sure
估计你可能信心
You may be confident, but
就没有那么充足了
You are less sure
你可能只敢说
You might just say
老师 我大概只有90%的把握
Teacher: I'm only about 90% sure
你今天包里带的钱
that the money in your bag today
在50到500块之间
is between 50 and 500 yuan
这是一个日常生活里边
This is a small game
可能经常会玩的小游戏
that may be played in everyday life
其实通过这个小游戏
Actually through this little game,
我们基本上面可以
we can basically
用它来学习区间估计的
learn the basic principles of
基本原理
interval estimation
我们看到给出一个区间的时候
We see that when we give an interval
我们需要给出一个区间的下限
we need to give a lower limit and
一个区间的上限
and an upper limit of the interval
以及和它对应的你的信心水平
and your level of corresponding confidence
你有100%的把握
100% sure
还是只有90%的把握
or only 90% sure
所以我们接下来
Next
利用样本的信息
when we use the information of the sample
去估计总体的可能区间的时候
to estimate the possible interval of the population
我们可能也涉及到
we may involve
这样几个内容
such contents
这个区间的上端点
As the upper end of this interval
这个区间的下端点
the lower end of the interval
以及和这个区间对应的
and your level of confidence
你的信心程度
corresponding to the interval
在刚才的游戏里边
in the game we played just now
你们可能觉得
you may think
有一点点不太容易
it is a little hard to
猜我包里钱的
guess how much money you have in your bag
这个游戏有一点点难度
The game is a little difficult
原因是你没有获得过
Because you have no information
我的行为习惯的有关信息
about my behavior
比如你通过某些信息了解到
Let's say you learn something
我一般的行为习惯
about my general behavior
我在出来上课的时候
the habit of how much money I carry in my bag
我包里带多少钱的习惯
when I go out to the class
或者我出去购物的时候
or when I go shopping
我一般包里带多少钱
how much money do I usually carry in my bag
如果你已经获得过
if you already have
相关的这些信息的话
the related information
那么我想你给出
I think it might be much easier
我今天包里带多少钱的
for you to give the interval of
这个区间
how much money I carry today
可能要容易得多
in my bag
这个就是
That's why
我们为什么要抽样的原因
we do sampling
因为我们通过抽样
Because by sampling
是可以获得样本的有关信息
you may get Information about the sample
而在它的基础上
and on its basis
接下来去估计总体的参数
you can estimate the parameters of the population
来构造这个区间
so as to construct the interval
所以经过这个游戏环节
So through this game link
我想我们大概可以把区间估计
I think we can sort out the information that
所要用到的信息捋一捋
will be used in interval estimation
第一 我们可能需要
First, we may need
有样本的有关信息
information about the sample
这个我们刚才前面已经铺垫过
We've already talked about this
估计值或者估计量
estimates or estimators
第二个
Second
我需要通过一定的方法
I need a certain method
把区间的下限和上限
to calculate out the lower limit and upper limit
Of the interval
第三个跟它对应的
Third, we may also need
可能还有一个信息
the corresponding information
就是信心程度
That is confidence degree
接下来我们通过一个例子
Next we’ll use an example
来描述区间估计的基本原理
to describe the basic principle of interval estimation
这个例子里边说的是
This example is about
Traveller公司
Traveller Company
是一家专门生产
which is a specialist manufacturer
旅行箱包的公司
of travel bags and suitcase
为了监控公司的产品质量
To monitor the quality of the company's products
那么这家公司每个月
this company takes
都要随机地抽取一个顾客样本
a random sample of customers every month
进行调查
to investigate
来了解顾客的满意分数
customer satisfaction scores
根据以往的调查
According to the past surveys
满意分数的标准差
the standard deviation of the satisfaction score
稳定在12分左右
is stable at about 12 points
这里先停一下
Let's stop here first
大家注意到
You notice that
这里出现了一个标准差为12分
there is a standard deviation of 12 points
那这里边我想先考一下大家
I want to test you first
那从轻松学统计的课堂
we have studied statistics
课堂学习到现在
in this class up to now
我们知道标准差
We know the standard deviation
有三个不同的形式
have three different forms
第一 总体标准差
First, population standard deviation
第二 样本标准差
Second, sample standard deviation
第三 抽样标准差
Third, sampling standard deviation
那么这里
Then, it is said here that
写了一个根据以往的调查
according to the previous investigation
满意分数的标准差稳定
the standard deviation of the satisfaction score is stable
在12分左右
at about 12 points
这个12
For this 12
我如果要用一个相应的符号
if I am to use a corresponding notation
把它表达出来
to express it
我应该选哪一个呢
which should I select
我是选σ=12
σ=12
还是选S=12
S=12
还是选σ除以根号n等于12呢
or σ over the square root of n is equal to 12
这个信息大家一定要
You should make clear about
先把它弄清楚
this information
那么这里边我们告诉大家
Here, we tell you
一个基本的原则
a basic principle
就是如果出现了
That is, if there is description
根据以往的调查的字眼
based on the previous survey
我们所显示的信息
then the related information
所代表的都是总体的标准差
represents the standard deviation of the population
也就是说这个12分
That is to say, for the 12 points
我们可以用σ=12分
we may use σ =12 points
来表达相关的内容了
to express the relevant content
也就是说这一次总体的
This is to say for this population
标准差是已知的
the standard deviation is given
最近一次49名顾客的
Then, it is said according to the recent sampling of
抽样显示
49 customers
那这里
Here
我们才有最新一次的抽样出现
the most recent sampling occurs
所以刚才前面的12分
Therefore, the previous 12 points
一定不是样本标准差
Must not be the sample standard deviation
那最新一次抽样
In the most recent sampling
这个49名
49 customers
也就是我们的样本容量
are the sample size
那我们可以
Then, we may
用n=49来表示了
use n=49 to express
满意分数的样本均值为82分
The sample mean of the satisfaction score is 82 points
那这个显示的
So
就是X_bar等于82了
X_bar is equal to 82
有了这些信息
With such information
接下来要我们来建立
we can set up
总体满意分数的区间
the interval of the satisfaction scores of the population
也就是要给它一个区间估计
That is to make an interval estimation
根据咱们刚才游戏环节的分析
According to our analysis of the game
我们需要准备一个信心程度
we need to prepare a level of confidence
第二 样本的信息我们已经有了
Second, we already have the information
第三个 想办法把区间的
Third, we need to figure out
上限和下限给它计算出来
the upper and lower limits of the interval
区间的上限和下限
For the upper and lower limits of the interval
怎么样来计算
How to calculate them
这里边
There is
有一个非常技巧性的环节
a very skilled link
首先我们可以想像
First we can imagine
如果对于区间的长度
if, for the length of the interval
没有任何要求的话
there's no requirement
那这样的区间
then, for such interval that
以样本信息为基础的区间
is based on sample information
可以有无穷多个
there could be an infinite number of them
因为我可以是0到1万
I can take an interval from 0 to 10,000
这不是有1万块的区间嘛
so this is just that interval of 0- 10,000 yuan
我也可以是50到500
I can set an interval from 50 to 500
那这个区间的话
Then, this interval
它的长度有450块钱
has a length of 450 yuan
又或者我是从0到500
Or I may set the interval to be from 0 to 500
那它又换了一个区间
This is another interval
因此如果区间的长度
Therefore, if the interval length
没有一个约束的话
is not restricted
我们可以构造的区间
we may construction
有若干多个
thousands of intervals
所以首先第一步
Therefore, in the first step
我们可能对于区间的长度
we may set a requirement
会有一个要求
on the length of interval
比如我们在刚才的
For example, in the
这个游戏环节里边
game link we played just now
我可能会附加一个条件
I might attach a condition
因为我知道你给出的区间的
Because I know that there's an infinite number of possibilities
可能性有无穷多种
you may give for the interval
所以我就会可能附加一个条件
So I may attach a condition that
正负五十块都算你对
50 yuan more or less is right
那我说正负五十块都算你对
When I say 50 yuan more or less is right
实际上我就给了一个条件给你
I gave you a condition
就是区间的长度是100块
That is the length of the interval is 100 yuan
比我少50块我也算你对
If it is 50 yuan more, you are right
比我多50块我也算你对
If it is 50 yuan less, you are also right
这种方法在我们日常生活里边
This method is very common
如果你留意过
in our daily life
非常地常见
If you notice
在一些产品质量标志里边
In some product quality signs
非常地常见
it is very common
比如我们如果是去买一些
If we go to buy some
袋装食品的时候
bagged foods
它的袋装上面
on its package bag
它的袋子上面可能标注3公斤加减3%
It may be labelled that the weight is 3 kilograms plus or minus 3%
3公斤加减3%
3 kilograms plus or minus 3%
那就告诉我们
tells us that
这一袋产品的重量
the weight of this bag of product
在3公斤加减0.09公斤的
is in the range of
范围之内波动的
3 kilograms plus or minus 0.09 kilogram
又或者
Or
我们去买一些容器的时候
when we go to buy some containers
这个容器它可能标明它的自重
this container might indicate its dead weight
它说它的自重是90.5加减5克
It says its weight is 90.5 plus or minus 5 grams
这个也给出了一个区间
This also gives an interval
这个区间的长度的话
The length of this interval
就是10克了
is 10 grams
所以这种方法非常地常见
So it's very common method
就是我们可能
We may
只能够寻找一个特殊的区间
only look for a particular interval
那这个区间的长度是固定的
the length of which is fixed
当然对我们来讲
Of course, to us
即使退一步
even a step back
区间的长度是固定的
the length of the interval is fixed
如果以82分为基础
If we take 82 points as base
来构建一个固定长度的区间
to construct a fixed length interval
其实还是有若干多种可能
there are still many possibilities
我只要保证它的区间长度
As long as the interval length is guaranteed
比如我举一个例子
Let me give you an example
这个区间长度是10分
The interval length is 10 points
我只要以82分为基础
and I only need to take 82 points as basis
我的总长度是10分
The total length is 10 points
那么我的区间
Then, there can still be
还是可以有任意多个
a number of possibilities
因为我的左右的端点
Because my left and right endpoints
可以做调整
can be adjusted
我可以是80分到90分
It can be between 80 to 90 points
那这个是以82分为基础的
It is an interval that is based on
一个区间吧
82 points
我左边减2分 右边加8分
I subtract 2 points from the left side and add 8 points to the right side
这不是一个区间嘛
And this is also an interval
我也可以是75分到85分
It can also between 75 points to 85 points
这个区间长度也是10分
This interval length is also 10 points
我也是以82分为基础
And it is also based on 82 points
我左边减 右边加
I subtract from the left and add to the right
只不过左边和右边减的
Only that subtracted from the left is not equal to that
和加的不相等而已
added to the right
因此即使退一步
Therefore, even one step back
区间长度固定下来
When the interval length is fixed
以样本信息为基础的区间
and based on sample information
仍然还是有若干多个
there are still a number of possibilities
所以接下来
Therefore, the interval
我们所要构建的区间
we will construct next
一定是一个特殊的区间
must be a special interval
刚才前面举到的例子
In the previous example
产品的质量标识
the product quality label
比如3公斤加减3%
such as 3 kilograms minus or plus 3%
比如90.5加减5克
and 90.5 minus or plus 5 kilograms
这样的产品标识
Such product label
给我们接下来构造区间
gives us a good idea
提供了一个非常好的启发
for constructing the interval
就是最好的
That is the best
或者是说最常用的区间
Or most commonly used interval
它是以某个数为基础对称的区间
should be the symmetric interval
为基础对称的区间
based on a certain figure
那正负5就表明左右两边是对称的了
So plus or minus 5 means that the left and right sides
是对称的了
are symmetric
也只有这样的区间
Only such interval
才能够通过我们接下来的方法
by our following method
把它以样本信息为基础
and based on sample information
给构造出来
can be constructed
所以在我们构造总体均值的
So in the process of constructing the interval
区间的过程里边
of the population mean
一定是有这样的一个环节
there must be such a link
找到的一定是
To find
一个非常特殊的区间
a special interval that
是以样本信息为基础的
is based on sample information
对称的区间
is Symmetrical interval
-1.1 Applications in Business and Economics
--1.1.1 Statistics application: everywhere 统计应用:无处不在
-1.2 Data、Data Sources
--1.2.1 History of Statistical Practice: A Long Road 统计实践史:漫漫长路
-1.3 Descriptive Statistics
--1.3.1 History of Statistics: Learn from others 统计学科史:博采众长
--1.3.2 Homework 课后习题
-1.4 Statistical Inference
--1.4.1 Basic research methods: statistical tools 基本研究方法:统计的利器
--1.4.2 Homework课后习题
--1.4.3 Basic concepts: the cornerstone of statistics 基本概念:统计的基石
--1.4.4 Homework 课后习题
-1.5 Unit test 第一单元测试题
-2.1Summarizing Qualitative Data
--2.1.1 Statistical investigation: the sharp edge of mining raw ore 统计调查:挖掘原矿的利刃
-2.2Frequency Distribution
--2.2.1 Scheme design: a prelude to statistical survey 方案设计:统计调查的前奏
-2.3Relative Frequency Distribution
--2.3.1 Homework 课后习题
-2.4Bar Graph
--2.4.1 Homework 课后习题
-2.6 Unit 2 test 第二单元测试题
-Descriptive Statistics: Numerical Methods
-3.1Measures of Location
--3.1.1 Statistics grouping: from original ecology to systematization 统计分组:从原生态到系统化
--3.1.2 Homework 课后习题
-3.2Mean、Median、Mode
--3.2.2 Homework 课后习题
-3.3Percentiles
--3.3 .1 Statistics chart: show the best partner for data 统计图表:展现数据最佳拍档
--3.3.2 Homework 课后习题
-3.4Quartiles
--3.4.1 Calculating the average (1): Full expression of central tendency 计算平均数(一):集中趋势之充分表达
--3.4.2 Homework 课后习题
-3.5Measures of Variability
--3.5.1 Calculating the average (2): Full expression of central tendency 计算平均数(二):集中趋势之充分表达
--3.5.2 Homework 课后习题
-3.6Range、Interquartile Range、A.D、Variance
--3.6.1 Position average: a robust expression of central tendency 1 位置平均数:集中趋势之稳健表达1
--3.6.2 Homework 课后习题
-3.7Standard Deviation
--3.7.1 Position average: a robust expression of central tendency 2 位置平均数:集中趋势之稳健表达2
-3.8Coefficient of Variation
-3.9 unit 3 test 第三单元测试题
-4.1 The horizontal of time series
--4.1.1 Time series (1): The past, present and future of the indicator 时间序列 (一) :指标的过去现在未来
--4.1.2 Homework 课后习题
--4.1.3 Time series (2): The past, present and future of indicators 时间序列 (二) :指标的过去现在未来
--4.1.4 Homework 课后习题
--4.1.5 Level analysis: the basis of time series analysis 水平分析:时间数列分析的基础
--4.1.6Homework 课后习题
-4.2 The speed analysis of time series
--4.2.1 Speed analysis: relative changes in time series 速度分析:时间数列的相对变动
--4.2.2 Homework 课后习题
-4.3 The calculation of the chronological average
--4.3.1 Average development speed: horizontal method and cumulative method 平均发展速度:水平法和累积法
--4.3.2 Homework 课后习题
-4.4 The calculation of average rate of development and increase
--4.4.1 Analysis of Component Factors: Finding the Truth 构成因素分析:抽丝剥茧寻真相
--4.4.2 Homework 课后习题
-4.5 The secular trend analysis of time series
--4.5.1 Long-term trend determination, smoothing method 长期趋势测定,修匀法
--4.5.2 Homework 课后习题
--4.5.3 Long-term trend determination: equation method 长期趋势测定:方程法
--4.5.4 Homework 课后习题
-4.6 The season fluctuation analysis of time series
--4.6.1 Seasonal change analysis: the same period average method 季节变动分析:同期平均法
-4.7 Unit 4 test 第四单元测试题
-5.1 The Conception and Type of Statistical Index
--5.1.1 Index overview: definition and classification 指数概览:定义与分类
-5.2 Aggregate Index
--5.2.1 Comprehensive index: first comprehensive and then compare 综合指数:先综合后对比
-5.4 Aggregate Index System
--5.4.1 Comprehensive Index System 综合指数体系
-5.5 Transformative Aggregate Index (Mean value index)
--5.5.1 Average index: compare first and then comprehensive (1) 平均数指数:先对比后综合(一)
--5.5.2 Average index: compare first and then comprehensive (2) 平均数指数:先对比后综合(二)
-5.6 Average target index
--5.6.1 Average index index: first average and then compare 平均指标指数:先平均后对比
-5.7 Multi-factor Index System
--5.7.1 CPI Past and Present CPI 前世今生
-5.8 Economic Index in Reality
--5.8.1 Stock Price Index: Big Family 股票价格指数:大家庭
-5.9 Unit 5 test 第五单元测试题
-Sampling and sampling distribution
-6.1The binomial distribution
--6.1.1 Sampling survey: definition and several groups of concepts 抽样调查:定义与几组概念
-6.2The geometric distribution
--6.2.1 Probability sampling: common organizational forms 概率抽样:常用组织形式
-6.3The t-distribution
--6.3.1 Non-probability sampling: commonly used sampling methods 非概率抽样:常用抽取方法
-6.4The normal distribution
--6.4.1 Common probability distributions: basic characterization of random variables 常见概率分布:随机变量的基本刻画
-6.5Using the normal table
--6.5.1 Sampling distribution: the cornerstone of sampling inference theory 抽样分布:抽样推断理论的基石
-6.9 Unit 6 test 第六单元测试题
-7.1Properties of point estimates: bias and variability
--7.1.1 Point estimation: methods and applications 点估计:方法与应用
-7.2Logic of confidence intervals
--7.2.1 Estimation: Selection and Evaluation 估计量:选择与评价
-7.3Meaning of confidence level
--7.3.1 Interval estimation: basic principles (1) 区间估计:基本原理(一)
--7.3.2 Interval estimation: basic principles (2) 区间估计:基本原理(二)
-7.4Confidence interval for a population proportion
--7.4.1 Interval estimation of the mean: large sample case 均值的区间估计:大样本情形
--7.4.2 Interval estimation of the mean: small sample case 均值的区间估计:小样本情形
-7.5Confidence interval for a population mean
--7.5.1 Interval estimation of the mean: small sample case 区间估计:总体比例和方差
-7.6Finding sample size
--7.6.1 Determination of sample size: a prelude to sampling (1) 样本容量的确定:抽样的前奏(一)
--7.6.2 Determination of sample size: a prelude to sampling (2) 样本容量的确定:抽样的前奏(二)
-7.7 Unit 7 Test 第七单元测试题
-8.1Forming hypotheses
--8.1.1 Hypothesis testing: proposing hypotheses 假设检验:提出假设
-8.2Logic of hypothesis testing
--8.2.1 Hypothesis testing: basic ideas 假设检验:基本思想
-8.3Type I and Type II errors
--8.3.1 Hypothesis testing: basic steps 假设检验:基本步骤
-8.4Test statistics and p-values 、Two-sided tests
--8.4.1 Example analysis: single population mean test 例题解析:单个总体均值检验
-8.5Hypothesis test for a population mean
--8.5.1 Analysis of examples of individual population proportion and variance test 例题分析 单个总体比例及方差检验
-8.6Hypothesis test for a population proportion
--8.6.1 P value: another test criterion P值:另一个检验准则
-8.7 Unit 8 test 第八单元测试题
-Correlation and regression analysis
-9.1Correlative relations
--9.1.1 Correlation analysis: exploring the connection of things 相关分析:初探事物联系
--9.1.2 Correlation coefficient: quantify the degree of correlation 相关系数:量化相关程度
-9.2The description of regression equation
--9.2.1 Regression Analysis: Application at a Glance 回归分析:应用一瞥
-9.3Fit the regression equation
--9.3.1 Regression analysis: equation establishment 回归分析:方程建立
-9.4Correlative relations of determination
--9.4.1 Regression analysis: basic ideas
--9.4.2 Regression analysis: coefficient estimation 回归分析:系数估计
-9.5The application of regression equation