Categorie: Tutti - correlación - estadísticas - variables - predicción

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Regresión lineal

La regresión lineal es una técnica estadística utilizada para analizar la relación entre dos variables continuas, denominadas de predicción y respuesta. Se representa comúnmente con la fórmula Y=f(

Regresión lineal

Regresión lineal

Let's begin to compare and contrast two subjects.

If you need explanations on what is a Compare & contrast essay check out this short video

Lineal

La variable dependiente solo está en función de una variable independiente

Type in the second subject to compare and contrast


Make sure you will present the points of comparison and contrast in the same order.

Example: fast food

Third main point


Keep up the order set for the first subject.

Example: price

Pruebas estadísticas

Importance of similarities and differences


Emphasize the importance of the similarities and differences between the two subjects to support your thesis.

Coeficiente de correlación
R2

What are the main conclusions


after comparing and contrasting the two subjects? Type them in.

Example:

Múltiple

La variable dependiente (Y) esta en función de varias variables.

Type in the first subject to compare and contrast


You will start analyzing this first subject, covering the features that you want to present completely, then you will pass on to the second subject.

Example: home-cooked food

Ejemplo

Second main point


What is the second point to consider when comparing and contrasting the two subjects? Type it in.

Example: accessibility - compare/ contrast how convenient the two types of food are.

Conceptos básicos

Representación
Y=f(X)

In what ways are the two subjects different?


Type in the main differences between the two.

Example: home-cooked food is always healthier than fast food.

¿Qué es?
La regresión lineal es un campo de estudio que enfatiza la relación estadística entre dos variables continuas conocidas como variables de predicción y respuesta

What do the two subjects have in common?


Type in the main similarities. Example: let's say you choose 'fast food' and 'home-cooked food', both of them are appealing.