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What is Multiple Linear Regression and How Can it be Helpful for Business Analysis?

Smarten

To better understand multiple linear regression, let’s look at one such analysis of independent variables: Temperature and Humidity, and a target variable (yield). How Can Multiple Linear Regression Be Helpful for Business Analysis? Use Case – 1.

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What is Spearman’s Rank Correlation and How is it Useful for Business Analysis?

Smarten

How is Spearman’s Rank Correlation Useful for Business Analysis? Business Problem: An educational organization wants to assess students’ rating, based on two different sources of observation. The closer this value is to 0, the weaker the relationship/association is between both variables. Use Case – 1.

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What is the Paired Sample T Test and How is it Beneficial to Business Analysis?

Smarten

How is the Paired Sample T Test Beneficial to Business Analysis? This type of analysis can be useful in numerous situations. Let’s look at two use cases to better understand the benefit of this technique in business analysis. Therefore, the treatment was not effective. Use Case – 1.

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What is Frequent Pattern Mining (Association) and How Does it Support Business Analysis?

Smarten

How Does Frequent Pattern Mining Support Business Analysis? This method of analysis can be useful in evaluating data for various business functions and industries. Basket Data Analysis – To analyze the association of purchased items in a single basket or single purchase. Confidence (milk->bread) = 0.5

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What is ARIMAX Forecasting and How is it Used for Enterprise Analysis?

Smarten

This article looks at the ARIMAX Forecasting method of analysis and how it can be used for business analysis. An Autoregressive Integrated Moving Average with Explanatory Variable (ARIMAX) model can be viewed as a multiple regression model with one or more autoregressive (AR) terms and/or one or more moving average (MA) terms.

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What is Outlier Analysis and How Can It Improve Analysis?

Smarten

How Can Outlier Detection Improve Business Analysis? The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.

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Augmented Analytics Algorithms and Techniques: Learning for Citizen Data Scientists

Smarten

Use Case(s): Weather Forecasting, Fraud Analysis and more. Frequent Pattern Mining (Association): What is Frequent Pattern Mining (Association) and How Does it Support Business Analysis? Use Case(s): Market Basket Analysis, Frequently Bundled Products and more. Use Case(s): Average value of all cars in U.S.