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You are creating a regression model with the input income, education and current debt of a customer, what could be the possible output from this model.
A. Customer fit as a good
B. Customer fit as acceptable or average category
C. expressed as a percent, that the customer will default on a loan
D. 1 and 3 are correct E. 2 and 3 are correct
ANSWER : C
What type of output generated in case of linear regression?
A. Continuous variable
B. Discrete Variable
C. Any of the Continuous and Discrete variable
D. Values between 0 and 1
ANSWER : A
If E1 and E2 are two events, how do you represent the conditional probability given that E2 occurs given that E1 has occurred?
ANSWER : C
In which of the scenario you can use the regression to predict the values
A. Samsung can use it for mobile sales forecast
B. Mobile companies can use it to forecast manufacturing defects
C. Probability of the celebrity divorce
D. Only 1 and 2 E. All 1 ,2 and 3
ANSWER : E
You are working as a data science consultant for a gaming company. You have three member team and all other stake holders are from the company itself like project managers and project sponsored, data team etc. During the discussion project managed asked you that when can you tell me that the model you are using is robust enough, after which step you can consider answer for this question?
A. Data Preparation
D. Model planning
E. Model building
ANSWER : E