Question

Difference between linear adjustment and linear regression

Answer 1

Answer and Explanation:

Linear Adjustment:

• It uses linear transformation to convert pixel grid from one plane to the other.
• Generally, optical systems utilizes this mechanism.
• Relative size is expresses with the help of scale.
• It is the first order correction of the grid.
• Scale x and scale y can be set independently by using linear adjustment dialog
• Reflection of an image is specified by negative value on scale.

Linear Regression:

• This linear approach is used to model the relationship between scalar response and more than one or one variable (explanatory).
• This method is used widely in areas where biological, social sciences behavioral relationship and their possible description is required.
• It is one of the most important deterministic tool.
• It is represented by:

`Y_(i) = X_(i)^T\beta_(i)`

where

i = 1, 2, 3, ......, n