Introduction to Machine Learning (Day-16)

Which one of the statement is true regarding residuals in regression analysis?

• Mean of residuals is always zero

• Mean of residuals is always less than zero

• Mean of residuals is always greater than zero

• There is no such rule for residuals.

Generally, which of the following method(s) is used for predicting continuous dependent variable?

• Linear Regression

• Logistic Regression

• Both

• None of these

We can also compute the coefficient of linear regression with the help of an analytical method called “Normal Equation”. Which of the following is/are true about “Normal Equation”?

1. We don’t have to choose the learning rate
2. It becomes slow when number of features is very large
3. No need to iterate

• 1 and 2

• 1 and 3

• 2 and 3

• 1,2 and 3

How many coefficients do you need to estimate in a simple linear regression model (One independent variable)?

• 1

• 2

• 3

• Cannot Say

If two variables are highly correlated, is it necessary that they have a linear relationship?

• Yes

• No

Two features have correlation coefficient=0. What it indicates?

• The two features are highly correlated

• The two features are not correlated

In a simple linear regression model (One independent variable), If we change the input variable by 1 unit. How much output variable will change?

• By 1

• No change

• By intercept

• By its Slope

Determine the gradient of the function

 $x^2-2y^2-4y$  at point (0, 0)?

• 2i-4j

• 0i-4j

• 0i+0j

• -4i-4j