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--- multiple_regression_examples [2019/11/01 13:17] – [Backward elimination] hkimscil
+++ multiple_regression_examples [2019/11/01 13:17] – [Backward elimination] hkimscil
@@ Line 1231: / Line 1231: @@
 <WRAP half column>
+lm.fit.01 <- lm(formula = Sales ~
+                 CompPrice + Income +
+                 Advertising + Price +
+                 ShelveLoc + Age,
+                 data = Carseats)
+summary(lm.fit.01)
+> lm.fit.01 <- lm(formula = Sales ~ CompPrice +
+         Income + Advertising + Price +
+         ShelveLoc + Age, data = Carseats)
+> summary(lm.fit.01)
+Call:
+lm(formula = Sales ~ CompPrice + Income + Advertising + Price +
+    ShelveLoc + Age, data = Carseats)
+Residuals:
+    Min      1Q  Median      3Q     Max
+-2.7728 -0.6954  0.0282  0.6732  3.3292
+Coefficients:
+                 Estimate Std. Error t value Pr(>|t|)
+(Intercept)      5.475226   0.505005   10.84   <2e-16 ***
+CompPrice        0.092571   0.004123   22.45   <2e-16 ***
+Income           0.015785   0.001838    8.59   <2e-16 ***
+Advertising      0.115903   0.007724   15.01   <2e-16 ***
+Price           -0.095319   0.002670  -35.70   <2e-16 ***
+ShelveLocGood    4.835675   0.152499   31.71   <2e-16 ***
+ShelveLocMedium  1.951993   0.125375   15.57   <2e-16 ***
+Age             -0.046128   0.003177  -14.52   <2e-16 ***
+---
+Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
+Residual standard error: 1.019 on 392 degrees of freedom
+Multiple R-squared:  0.872,	Adjusted R-squared:  0.8697
+F-statistic: 381.4 on 7 and 392 DF,  p-value: < 2.2e-16
 </WRAP>
 </WRAP>