若建立的消费Y对收入X的回归直线的Eviews输出结果如下: Dependent Variable: Y Variable Coefficient Std. Error X C R-squared . dependent var Adjusted R-squared F-statistic Durbin-Watson stat Prob(F-statistic) (1)说明回归直线的代表性及解释能力。 (2)在95%的置信度下检验参数的显著性。(,,...
of regression0.236114Akaike info criterion0.257851Sum squared resid0.278750Schwarz criterion0.409144Log likelihood3.710743Hannan-Quinn criter.0.091884F-staistic60.18950Durbin-Watson stat2.213879Prob(F-staitic)0.000204补解图4-5OLS估计由上述估计结果知,R2=0.9797,说明四个X联合对Y构成线性影响;F=60.19,对应的P值为...
mse_lr=mean_squared_error(y_test, y_pred_lr) print("多元线性回归:r2为{:.3f},MSE为{:.3f}".format(r2_lr,mse_lr)) ridge.fit(X_train,y_train) y_pred_ridge=ridge.predict(X_test) r2_ridge=r2_score(y_test,y_pred_ridge) mse_ridge=mean_squared_error(y_test, y_pred_ridge) print...
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可参考学习。如果你已经非常熟悉这些知识了，就可以直接开始本章节的岭回归学习啦~
of regression ___ Akaike info criterion 10.77510Sum squared resid 782956.8 Schwartz criterion 10.87467Log likelihood - 134.1298 F-statistic ___ Durbin-Watson stat 0.859457 Prob(F-statistic) 0.000000(其中:X—国民生产总值;Y—财政收入)(1)补齐表中的数据(保留四位小数),并写出回归分析报告;(2)解释模型...
x2^2 -0.17792 0.25219 -0.70551 0.48121 x3^2 0.013372 0.25903 0.051623 0.95887 x4^2 0.22872 0.2511 0.91086 0.36332 x5^2 0.098667 0.25524 0.38657 0.69943 x6^2 0.18421 0.25429 0.72438 0.46957 Number of observations: 258, Error degrees of freedom: 230 Root Mean Squared Error: 0.299 R-squared: ...
Well, darling, y multiplied by y is simply y squared. It's like basic math 101, sweetie. So, there you have it, y x y equals y squared. Next! BettyBot ∙5moago Copy Y4 Nariman Aladel∙ Lvl2 ∙10moago Copy Add a Comment ...
y=3(x−1)2−5 解y y=3(x−1)2−5 解x x=−33y+15+1 x=33y+15+1,y≥−5 圖表 共享 復制 已復制到剪貼板
1.首先，我们打开一个excel文档并选择数据进行演示，如下图所示。2.选择要分析的数据后，点击“插入”，选择“散点图”，选择散点图类型。3.在选项框中，选择趋势线“linear”，勾选“showformula”和“showRsquaredanswervalue”，点击“close”。4.此时，从图中可以看出，线性相关系数R的平方为0....