FQ2.docx - FQ2 Shashaank 2020-10-12 abstract =...

FQ2
Shashaank
2020-10-12
abstract = read.csv ( "iris_exams.csv" )
summary (abstract)
## id Species Sepal.Length
Sepal.Width
## Length:300 Length:300 Min. :4.417
Min. :1.796
## Class :character Class :character 1st Qu.:5.209 1st
Qu.:2.720
## Mode :character Mode :character Median :5.844
Median :2.992
## Mean :5.857
Mean :3.064
## 3rd Qu.:6.448 3rd
Qu.:3.375
## Max. :8.478
Max. :4.810
## Petal.Length Petal.Width
## Min. :1.135 Min. :-0.03371
## 1st Qu.:1.566 1st Qu.: 0.30278
## Median :4.228 Median : 1.28776
## Mean :3.738 Mean : 1.19830
## 3rd Qu.:5.205 3rd Qu.: 1.87452
## Max. :6.955 Max. : 2.62487
abstract $ Species[abstract $ Species == "versicolor" ] <- 1
abstract $ Species[abstract $ Species == "setosa" ] <- 2
abstract $ Species[abstract $ Species == "virginica" ] <- 3
model1 = lm (Species ~ Sepal.Length + Sepal.Width + Petal.Length
+ Petal.Width , data = abstract)
summary (model1)
##
## Call:
## lm(formula = Species ~ Sepal.Length + Sepal.Width +
Petal.Length +
## Petal.Width, data = abstract)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.6395 -0.5336 0.1141 0.4571 1.3656
##

## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.2789 0.4379 0.637 0.5246
## Sepal.Length -0.3122 0.1274 -2.450 0.0149 *
## Sepal.Width 0.8464 0.1216 6.960 2.21e-11 ***
## Petal.Length -0.1268 0.1340 -0.946 0.3450
## Petal.Width 1.1932 0.2112 5.651 3.77e-08 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.6456 on 295 degrees of freedom