gs gs126 Multivariate Linear Regression - Multivariate Linear Regression - Quiz No.1
gs gs126 Neural Networks Quiz
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Question 1: Multivariate linear regression belongs to which category?
Neither supervised nor unsupervised learning
Both supervised and unsupervised learning
Supervised learning
Unsupervised learning
Question 2: The learner is trying to predict housing prices based on the size of each house and number of bedrooms. What type of regression is this?
Multivariate Logistic Regression
Logistic Regression
Linear Regression
Multivariate Linear Regression
Question 3: What does xn(i) represent?
Value of nth variable is i
Value of ith variable in the nth training example
Value of nth variable in the ith training example
Value of ith variable is n
Question 4: How is the hypothesis represented in multivariate regression? Transpose of matrix a is represented as aT.
h(X) = tTX
h(X) = tX
h(X) = tXT
h(X) = tTXT
Question 5: Let there be n features. What is the dimension of the X vector in hypothesis h(X) = tTX?
n x 1
(n + 1) x 1
n x n
(n – 1) x 1
Question 6: What does X(I) represent?
A vector denoting all the values of the ith feature
ith feature in the ith example
A feature vector denoting the independent variables in the ith example
Depends on the dataset
Question 8: What does (x1(4), x2(4), y(4)) represent or imply?
There are 4 training examples
The values of x1, x2, and y are 4
The fourth training example and there are two independent variables
The second training example and there are two independent variables
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