NIM : 220605110070

KELAS : C

MATKUL : KALKULUS

DOSEN PENGAMPU : Prof.Dr.Suhartono,M.Kom

JURUSAN : TEKNIK INFORMATIKA

LEMBAGA : UNIVERSITAS ISLAM NEGERI MAULANA MALIK IBRAHIM MALANG

=== Contoh Soal ===

library(MASS)
lm.fit <- lm(medv~lstat, data=Boston)
anova(lm.fit)
## Analysis of Variance Table
## 
## Response: medv
##            Df Sum Sq Mean Sq F value    Pr(>F)    
## lstat       1  23244 23243.9  601.62 < 2.2e-16 ***
## Residuals 504  19472    38.6                      
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
summary(lm.fit)
## 
## Call:
## lm(formula = medv ~ lstat, data = Boston)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -15.168  -3.990  -1.318   2.034  24.500 
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept) 34.55384    0.56263   61.41   <2e-16 ***
## lstat       -0.95005    0.03873  -24.53   <2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 6.216 on 504 degrees of freedom
## Multiple R-squared:  0.5441, Adjusted R-squared:  0.5432 
## F-statistic: 601.6 on 1 and 504 DF,  p-value: < 2.2e-16

Sumber Referensi :

https://dtkaplan.github.io/RforCalculus/graphing-functions.html . https://bookdown.org/moh_rosidi2610/Metode_Numerik/datamod.html