Linear Regression

Uses of Regression :

  1. Determining the strength of predictors
  2. Forecasting an effect
  3. Trend forecasting

Difference between Linear Regression and Logistic Regression :

Selection Criteria:

  1. Classification and Regression Capabilities.
  2. Data Quality
  3. Computational Complexity
  4. Classification and Regression Capabilities
  5. Comprehensible and transparent

Where is it used:

  1. Evaluating trends and sales estimates
  2. Analyzing the Impact of Price Changes
  3. Assessment of risk in financial services and insurance domain

Understanding it:

R-Square value:

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Student at Jaypee Institute of Information Technology

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Pavini Jain

Pavini Jain

Student at Jaypee Institute of Information Technology

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