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Correlation and linear regression examples

Anonim

Offer the student the graphical and statistical tools that allow them to learn to manage, analyze and interpret data with the MINITAB 14 software. It is not a statistical practice, it is not a quality practice, but a practice to learn how to use the MINITAB software. in those applications. We will know quality concepts and statistical concepts that are necessary for a better understanding of the program.

You will learn how to import / export data and results between Minitab and different programs. It will increase your ability to create, manipulate and restructure data. You will develop the ability to select the right tool to analyze your data and you will learn to create and interpret a wide variety of graphs and numerical measures used in quality improvement initiatives.

Background:

  • Variable

A variable is a symbol that represents an unspecified element in a given set. This set is called the universal set of the variable, universe or domain of the variable, and each element of the set is a value of the variable. Let x be a variable whose universe is the set {1,3,5,7,9,11,13}; then x can have any of those values: 1,3,5,7,9,11,13. In other words, x can be replaced by any odd positive integer less than 14. For this reason, a variable is often said to be a replacement for any element in its universe.

  • Measurement

Measurement is the determination of the ratio between the dimension or event of an object and a certain unit of measurement. The dimension of the object and the unit must be of the same magnitude. An important part of measurement is error estimation or error analysis

  • Scatter diagrams (include drawings)

A scatter diagram is a graphical representation of the relationship between two variables, widely used in the Theory Verification and Root Cause Identification phases and in the Design of solutions and maintenance of the results obtained.

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Correlation and linear regression examples