我正在尝试根据以下线性回归模型进行预测:
我想根据这个公式预测我的拦截(市场份额),给出每个响应变量的值。从这些结果中我的公式是什么,我可以为每个变量插入数字吗?
或者我是否需要先进行训练/训练集?
编辑:添加了结果文本。
summary(fit2)
Call:
lm(formula = Headache_Panel_Cleaned$Private_Label_Cleaned ~ Income_cleaned +
Age_Cleaned + Education_Cleaned, data = Headache_Panel_Cleaned)
Residuals:
Min 1Q Median 3Q Max
-53.880 -33.804 -5.473 32.589 68.171
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 52.02867 0.96849 53.721 <2e-16 ***
Income_cleaned -0.22711 0.01199 -18.949 <2e-16 ***
Age_Cleaned -0.11363 0.01334 -8.516 <2e-16 ***
Education_Cleaned 0.13104 0.01213 10.807 <2e-16 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 35.09 on 38115 degrees of freedom
(8224 observations deleted due to missingness)
Multiple R-squared: 0.0102, Adjusted R-squared: 0.01012
F-statistic: 131 on 3 and 38115 DF, p-value: < 2.2e-16