Question: table [ [ f ^ ( x ) , Sepal lengt,,,, ] , [ , A , B , C , D , E

\table[[f^(x),Sepal lengt,,,,],[,A,B,C,D,E],[1,Sepal leng|,Sepal widt,Petal lengt,Petal widt,Species],[2,5.1,3.5,1.4,0.2,Iris-setosa],[3,4.9,3,1.4,0.2,Iris-setosa],[4,4.7,3.2,1.3,0.2,Iris-setosa],[5,4.6,3.1,1.5,0.2,Iris-setosa],[6,5,3.6,1.4,0.2,Iris-setosa],[7,5.4,3.9,1.7,0.4,Iris-setosa],[8,4.6,3.4,1.4,0.3,Iris-setosa],[9,5,3.4,1.5,0.2,Iris-setosa],[10,4.4,2.9,1.4,0.2,Iris-setosa],[11,4.9,3.1,1.5,0.1,Iris-setosa],[12,5.4,3.7,1.5,0.2,Iris-setosa],[13,4.8,3.4,1.6,0.2,Iris-setosa],[14,4.8,3,1.4,0.1,Iris-setosa],[15,4.3,3,1.1,0.1,Iris-setosa],[16,5.8,4,1.2,0.2,Iris-setosa],[17,5.7,4.4,1.5,0.4,Iris-setosa],[18,5.4,3.9,1.3,0.4,Iris-setosa],[19,5.1,3.5,1.4,0.3,Iris-setosa],[20,5.7,3.8,1.7,0.3,Iris-setosa],[21,5.1,3.8,1.5,0.3,Iris-setosa],[27,5.4,3.4,17,0.2,Iris-setosa]]
The famous iris dataset (the first sheet of the spreadsheet linked above) was first published in 1936 by Ronald
Fisher. The dataset contains 50 samples from 3 iris species: setosa, virginia, and versicolor. Four features are
measured, all in cm: sepal length, sepal width, petal length, and petal width.
What is the equation for the least square regression line where the independent or predictor variable is sepal
length and the dependent or response variable is sepal width for iris virginica?
hat(y)=,x+, Round to three decimal places.
What is the predicted sepal width for iris virginica for a flower with a sepal length of 5.48?
cm, Round to three decimal places.
 \table[[f^(x),Sepal lengt,,,,],[,A,B,C,D,E],[1,Sepal leng|,Sepal widt,Petal lengt,Petal widt,Species],[2,5.1,3.5,1.4,0.2,Iris-setosa],[3,4.9,3,1.4,0.2,Iris-setosa],[4,4.7,3.2,1.3,0.2,Iris-setosa],[5,4.6,3.1,1.5,0.2,Iris-setosa],[6,5,3.6,1.4,0.2,Iris-setosa],[7,5.4,3.9,1.7,0.4,Iris-setosa],[8,4.6,3.4,1.4,0.3,Iris-setosa],[9,5,3.4,1.5,0.2,Iris-setosa],[10,4.4,2.9,1.4,0.2,Iris-setosa],[11,4.9,3.1,1.5,0.1,Iris-setosa],[12,5.4,3.7,1.5,0.2,Iris-setosa],[13,4.8,3.4,1.6,0.2,Iris-setosa],[14,4.8,3,1.4,0.1,Iris-setosa],[15,4.3,3,1.1,0.1,Iris-setosa],[16,5.8,4,1.2,0.2,Iris-setosa],[17,5.7,4.4,1.5,0.4,Iris-setosa],[18,5.4,3.9,1.3,0.4,Iris-setosa],[19,5.1,3.5,1.4,0.3,Iris-setosa],[20,5.7,3.8,1.7,0.3,Iris-setosa],[21,5.1,3.8,1.5,0.3,Iris-setosa],[27,5.4,3.4,17,0.2,Iris-setosa]] The famous iris dataset (the

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