DA0-001 Question #158: Real Exam Question with Answer & Explanation

The correct answer is C: Regression. Regression analysis is the appropriate statistical method for modeling the relationship between continuous input variables and a continuous output variable to predict future values.

Data Analysis

Question

An analyst wants to model the relationship between a set of continuous variables in order to predict the value of an output variable based on the values of a set of input variables. Which of the following types of analyses should the analyst use?

Options

AChi-squared
BCorrelation
CRegression
Dt-test

Explanation

Regression analysis is the appropriate statistical method for modeling the relationship between continuous input variables and a continuous output variable to predict future values.

Common mistakes.

A. A chi-squared test is used to determine if there is a statistically significant association between two categorical variables, not for predicting a continuous output from continuous inputs.
B. Correlation measures the strength and direction of a linear relationship between two continuous variables, but it does not produce a predictive model or equation like regression does.
D. A t-test is used to compare the means of two groups to determine if they are significantly different from each other, not for modeling predictive relationships between multiple continuous variables.

Concept tested. Regression analysis

Reference. learn.microsoft.com/en-us/azure/machine-learning/algorithm-cheat-sheet/regression

Topics

#Regression analysis#Predictive modeling#Statistical methods#Continuous variables

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