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用MT4编的一个线性回归的源代码，可以
被mt4应用来分析趋势-MT4 with a linear regression for the source code, can be used to analyze trends mt4
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A support vector machine (SVM) is a concept in statistics and computer science for a set of related supervised learning methods that analyze data and recognize patterns, used for classification and regression analysis.
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A support vector machine (SVM) is a concept in statistics and computer science for a set of related supervised learning methods that analyze data and recognize patterns, used for classification and regression analysis.
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多元线性回归VBA实现 可以自动分析并生成最优回归方程 并计算中间量-Multiple linear regression by VBA. This code can automatically analyze and generate the optimal regression equation and calculate the important values.
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支持向量机回归，可用于分析大量数据的回归预测-Support vector machine regression can be used to analyze large amounts of data regression
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分析数据
为了了解某地母亲身高x与女儿身高Y的相关关系，随机测得10对母女的身高（见下表）。利用SPSS软件，完成以下任务：
1.画出x、Y散点图，观察因变量与自变量之间关系是否有线性特点；
2.试对x与Y进行一元线性回归分析，列出一元线性回归预测模型；
3.预测当母亲身高为161cm时女儿的身高？
母亲身高(cm) 159 160 160 163 159 154 159 158 159 157
女儿身高(cm) 158 159 160 161 161 155 16
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完成一个多元线性回归模型，并给出回归结果，给出q值检验，拟合优度。画出残差图，对结果进行分析。-To complete a multiple linear regression model, and gives regression results, given the q value, goodness of fit. Residual plotted on a graph to analyze the results.
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In machine learning, support vector machines (SVMs, also support vector networks[1]) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis. Given a
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In machine learning, support vector machines (SVMs, also support vector networks[1]) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis. Given a
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支持向量机（SVM）是与相关的学习算法有关的监督学习模型，可以分析数据，识别模式，用于分类和回归分析。-Support Vector Machine (SVM) is associated with learning algorithm related supervised learning model, you can analyze data, identify patterns, used for classification and regression analysis.
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利用回归分析法，分析某地负荷变化与当地天气因素的变化关系，得到相关性较大的几个因素，并进行拟合比较-With regression analysis to analyze the relationship between changes in a certain place with the local weather changes in load factor to give greater relevance to several factors, and the fit
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用决策树-回归分析模型来分析鸢尾花数据，训练后最终可以得到模型的准确率(Using decision tree-regression analysis model to analyze iris data, the accuracy of the model can be obtained after training.)
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