Residual standard error为标准化残差;Multiple R-squared 为决定系数;Adjusted R-squared为调整的决定系数;F-statistic为F统计量。 二、计算各变量系数的95%置信区间 计算各变量系数的95%置信区间可通confint函数实现 confint(mod) 三、模型的方差分析表 aov(mod) 四、求标准化回归系数 有时候我
print("R-squared:", simple_model.rsquared) # Scatter plot with trendline plt.figure(figsize=(8, 5)) plt.scatter(dataset[feature], dataset["core_temperature"], label="Data") # Generate trendline values x_vals = np.linspace(dataset[feature].min(), dataset[feature].max(), 100...
Multiple R-Squared Excel Output Regression Statistics R-square 0.9755 Adjusted R-sq 0.9657 Standard Error 3.0238 Observations 8 Interpret the meaning of the coefficient of multiple determination in this problem. What measure did you use to answer this questions?
print("R-squared:", simple_model.rsquared) # Scatter plot with trendline plt.figure(figsize=(8,5)) plt.scatter(dataset[feature], dataset["core_temperature"],label="Data") # Generate trendline values x_vals = np.linspace(dataset[feature].min(), dataset[feature].max(),100)...