## What is Linear Regression Analysis?

Regression analysis is a topic covered widely in statistics assignment help. It is natural for students to find the topic challenging, and so often time they come online in search of regression analysis assignment help. Regression analysis is a statistical method used to identify which variables impact a topic of interest. In simple terms, a regression analysis is used to show the relationship between two or more variables. It is one of the most basic statistical analysis techniques. We divide the variables in a regression analysis into two major groups; dependent variables, usually the key factor that one is trying to understand or predict, and the independent variables, which are the factors that one suspects, have a significant impact on the dependent variable.

## Our Regression Analysis Assignment Help Service Includes:

### Simple Linear Regression Analysis Assignment Help

This is the basic regression that involves a predictor and independent variable related to each other linearly. This type of regression involves a line of best fit. One should use this type of regression when dealing with variables that are related linearly, such as sales and quantities supplied. However, this type of regression is susceptible to outliers and should not be used alone to reach a conclusion.

### Multiple Linear Regression Analysis Homework Help

Multiple linear regression is similar to a basic linear regression analysis. The only difference between the two is that a simple regression analysis uses just two variables, while in a multiple regression, we use more than two variables. For instance, in a study with weight as the dependent variables, some predictor variables can be age, height, BMI and gender. Since more than one variable is involved, this is an example of multiple linear regression analysis.

### Logistic Regression Analysis Assignment Help

Logistic regression is one of the regression analyses used when one of the dependent variables is dichotomous. Examples of dichotomous variables include yes or no, true or false and gender. These kinds of variables can only take on two values, hence the term dichotomous. For instance, a study to determine the impact of variables on the weight of either gender, i.e. male and female can apply a logistic regression analysis model.

### Polynomial Regression Homework Help

Polynomial regression is similar to multiple linear regression, with some slight modification. In a polynomial regression, the relationship between the independent variable (x) and the dependent variable (y) are denoted using the nth degree. The relationship models an actual polynomial, similar to quadratic equations. In polynomial regression, the line of the best fit is the line that passes through all the points, usually this is a curved line.

### Ridge Regression Assignment Help

This type of regression is used when there is a significantly high correlation between the independent variables. When the independent variables are highly correlated, this results in multicollinearity, which causes the results to be biased. To avert this situation, a bias matrix is introduced in the regression model. The matrix is robust, which makes the model less susceptible to overfitting or bias.

## Scatter Diagram Showing the Regression Line Equation and Coefficient of Determination