FIEL DIARIES #10

 Date: 03-04-2021

Topic: Regressions

Objective: Analize the regression line and its anova.

Shared resources

Statistics fos Dummis PDF

Statistics fos Dummis

Machala Hotels

Regressions

In statistics, regression analysis is a statistical process for estimating relationships between variables. It includes many techniques for the modeling and analysis of various variables, when the focus is on the relationship between a dependent variable and one or more independent variables.

So a regression is a notion that refers to the act of going back or going back. Originating in the Latin word regressio, the term has different uses according to the context. According to psychology, regression is a regression to a previous stage or level of development.

Regression analysis

Fit a line to a straight line in this dot plot mess, X is called the independent or regressive or predictive variable, E and is the dependent or response variable.

The regression or prediction line has the form Y = a + bz.

The regression line or the least squares line.

The least squares method is used to calculate the linear regression line that minimizes the residuals, that is, the differences between the actual values and those estimated by the line. Its foundation and the way to calculate the regression coefficients with this method is reviewed.

ANOVA 

In statistics, the analysis of variance is a collection of statistical models and their associated procedures, in which the variance is divided into certain components due to different explanatory variables.

Personal conclusions

Today's class learned about Study statistical regressions to learn the  relationships between two or more variables, anova, regression among others.

Task:

Research regarding gamification in hotels and tourism. Emphasize surveys.