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The major difference between Logistic and Linear Regression is that Linear Regression is used to solve regression problems whereas Logistic Regression is used for classification problems.

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The Smart Food Logistic Market research report 2022-2027 offers the complete outline of market size share and growth opportunities industry segmentation by product type applications and. Since it tests the null hypothesis that its coefficient turns out to be zero ie. P-Value is defined as the most important step to accept or reject a null hypothesis.

In regression problems the target variable can have continuous values such as the price of a product the age of a participant etc. Introduction to P-Value in Regression. Logistics Management Logistics - Strategy Formulation Implementation Anand Subramaniam.

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