Tagged: datascience

Homoscedasticity in Regression Analysis 0

Homoscedasticity in Regression Analysis

Homoscedasticity in Regression Analysis, The Goldfeld–Quandt test checks for homoscedasticity in regression studies in statistics. Subscribe This is accomplished by separating a dataset into two portions or groups, which is why the test is...

Chow Test in R 0

How to do Chow Test in R

The Chow test is used to compare the coefficients of two distinct regression models on two separate datasets. This test is commonly used in econometrics using time series data to evaluate if the data...

Rolling Correlation in R 0

How to perform Rolling Correlation in R

Rolling Correlation in R, Correlations between two-time series on a rolling window are known as rolling correlations. Correlations in time series are extremely valuable since they may be used to model and forecast if...

Anderson-Darling Test in R 0

Anderson-Darling Test in R (Quick Normality Check)

Anderson-Darling Test in R, The Anderson-Darling Test is a goodness-of-fit test that determines how well your data fits a given distribution. This test is most typically used to see if your data follow a...

Granger Causality Test in R 0

Granger Causality Test in R (with Example)

Granger-Causality Test in R, The Granger Causality test is used to examine if one time series may be used to forecast another. Subscribe to the Channel for video tutorials Null Hypothesis (H0): Time series...

Cross Validation in R 0

Cross Validation in R with Example

What Does Cross-Validation Mean? Cross-validation is a statistical approach for determining how well the results of a statistical investigation generalize to a different data set. Cross-validation is commonly employed in situations where the goal...

Regression Analysis Example 0

Regression Analysis Example-Ultimate Guide

Regression Analysis Example, In a recent article, we discussed model fitting and selection. However, we haven’t considered how we’ll choose which variables to include in our model. Simple Linear Regression in r » Guide...

Statistical Analysis in Business 0

Importance of Statistical Analysis in Business

Statistical Analysis in Business, Businesses cannot survive without consumer spending. Statistical analysis can help businesses identify trends among consumers so they can better meet their needs. It is no secret that statistical analysis is...

Model Selection in R 0

Model Selection in R (AIC Vs BIC)

Model Selection in R, Let’s look at a linear regression model using mtcars dataset. First, we need to brush up on our knowledge by looking at the mtcars dataset. head(mtcars) M mpg cyl disp...

Simple linear regression in R 0

Simple Linear Regression in r

Simple linear regression in r, we want to create models to investigate and forecast the relationship between variables, and the most basic relationship that we can think of is a straight line. Let’s take...

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