Add 相关分析概述

pull/2/head
benjas 5 years ago
parent 4dc4e8627b
commit 47319fa0d9

@ -34,7 +34,7 @@
"metadata": {}, "metadata": {},
"source": [ "source": [
"### 假设校验的基本思想\n", "### 假设校验的基本思想\n",
"<img src=\"assets/20201114091803.png\" width=\"50%\">" "<img src=\"assets/20201114091803.png\" width=\"30%\">"
] ]
}, },
{ {

@ -34,7 +34,7 @@
"metadata": {}, "metadata": {},
"source": [ "source": [
"### 假设校验的基本思想\n", "### 假设校验的基本思想\n",
"<img src=\"assets/20201114091803.png\" width=\"50%\">" "<img src=\"assets/20201114091803.png\" width=\"30%\">"
] ]
}, },
{ {

@ -0,0 +1,67 @@
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 相关分析\n",
"**相关分析**\n",
"<ul>\n",
" <li>衡量事物之间或称变量之间线性相关程度的强弱,并用适当的统计指标表示出来的过程。\n",
" <li>比如,家庭收入和支出、一个人所受教育程度与其收入、子女身高和父母身高等"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**相关系数**\n",
"<ul>\n",
" <li>衡量变量之间相关程度的一个量值。\n",
" <li>相关系数r的数值范围是在-1到+1之间。\n",
" <li>相关系数r的正负号表示变化方向。\"+\"号表示变化方向一致,即正相关:“-”号表示变化方向相反,即负相关。\n",
" <li>r的绝对值表示变量之间的密切程度(即强度)。绝对值越接近1表示两个变量之间关系越密切越接近0表示两个变量之间关系越不密切。\n",
" <li>相关系数的值,仅仅是一个比值。它不是由相等单位度量而来(即不等距),也不是百分比,因此,不能直接作加、减、乘、除运算。\n",
" <li>相关系数只能描述两个变量之间的变化方向及密切程度,并不能揭示两者之间的内在本质联系,即存在相关的两个变量,不一定存在因果关系。\n",
"</ul>\n",
"<img src=\"assets/20201119224526.png\" width=\"50%\">"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"左上图是线性相关最低的,右上图是线性相关很明显的;\n",
"左下图是线性相关一般的,右下图有一定的相关但不是线性相关;"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}

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@ -0,0 +1,67 @@
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 相关分析\n",
"**相关分析**\n",
"<ul>\n",
" <li>衡量事物之间或称变量之间线性相关程度的强弱,并用适当的统计指标表示出来的过程。\n",
" <li>比如,家庭收入和支出、一个人所受教育程度与其收入、子女身高和父母身高等"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**相关系数**\n",
"<ul>\n",
" <li>衡量变量之间相关程度的一个量值。\n",
" <li>相关系数r的数值范围是在-1到+1之间。\n",
" <li>相关系数r的正负号表示变化方向。\"+\"号表示变化方向一致,即正相关:“-”号表示变化方向相反,即负相关。\n",
" <li>r的绝对值表示变量之间的密切程度(即强度)。绝对值越接近1表示两个变量之间关系越密切越接近0表示两个变量之间关系越不密切。\n",
" <li>相关系数的值,仅仅是一个比值。它不是由相等单位度量而来(即不等距),也不是百分比,因此,不能直接作加、减、乘、除运算。\n",
" <li>相关系数只能描述两个变量之间的变化方向及密切程度,并不能揭示两者之间的内在本质联系,即存在相关的两个变量,不一定存在因果关系。\n",
"</ul>\n",
"<img src=\"assets/20201119224526.png\" width=\"50%\">"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"左上图是线性相关最低的,右上图是线性相关很明显的;\n",
"左下图是线性相关一般的,右下图有一定的相关但不是线性相关;"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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