I would like to build a simple linear regression and a multi-linear regression e
ID: 3374927 • Letter: I
Question
I would like to build a simple linear regression and a multi-linear regression example that will adapt to real life. You will include these examples (eg refrigerator, mobile phones, home prices etc.), including the regression line and plane equation, including the ANOVA table, the regression you have found should include the fitness test (a kind of lack of fit) Include the interpretation of the values, and include the confidence intervals for the regression coefficients you find for the line or plane. I would like to build a simple linear regression and a multi-linear regression example that will adapt to real life. You will include these examples (eg refrigerator, mobile phones, home prices etc.), including the regression line and plane equation, including the ANOVA table, the regression you have found should include the fitness test (a kind of lack of fit) Include the interpretation of the values, and include the confidence intervals for the regression coefficients you find for the line or plane.
Explanation / Answer
Well, there are many simple linear regression & multi linear regression examples that could adapt to real life. First, let me tell you the difference between the both. In simple linear regression, there is just one explanatory variable and one response variable while in multi-linear regression, there are two or more explanatory variables and one response variable.
Example of Simple linear regression: The value of a mobile phone depends on the power of the processor. Here, processor power is th explanatory variable and price of mobile phone is the response variable. We could predict the price on the basis of processor power.
Example of Multi-linear regression: Let's take the same example and try to predict the price of the mobile phone. The explanatory variables will be processor power, screen size, camera quality (in MegaPixels), Battery (in mAH) etc. Therefore, there are so many explanatory variables and one response variable.
Hope you understood the difference between both.