# How to Select Multiple Columns in Pandas (With Examples)

There are three basic methods you can use to select multiple columns of a pandas DataFrame: Method 1: Select Columns by Index df_new = df.iloc[:,…

# How to Fix: Length of values does not match length of index

One error you may encounter when using pandas is: ValueError: Length of values does not match length of index This error occurs when you attempt…

# How to Fix: Can only compare identically-labeled series objects

One error you may encounter when using pandas is: ValueError: Can only compare identically-labeled DataFrame objects This error occurs when you attempt to compare two…

# What is a Conceptual Variable? (Definition & Examples)

In statistics, a conceptual variable represents some abstract construct or entity that we want to measure. However, we can’t directly measure a conceptual variable so…

# When Should You Use Polynomial Regression?

Polynomial regression is a technique we can use to fit a regression model when the relationship between the predictor variable(s) and the response variable is…

# The Complete Guide: How to Report Logistic Regression Results

Logistic regression is a type of regression analysis we use when the response variable is binary. We can use the following general format to report…

# The Complete Guide: How to Report Odds Ratios

In statistics, an odds ratio tells us the ratio of the odds of an event occurring in a treatment group compared to the odds of…

# The Constant Variance Assumption: Definition & Example

Linear regression is a technique we use to quantify the relationship between one or more predictor variables and a response variable. One of the key…

# Sample Variance vs. Population Variance: What’s the Difference?

The variance is a way to measure the spread of values in a dataset. The formula to calculate population variance is: σ2 = Σ (xi…

# Is Age An Interval or Ratio Variable? (Explanation & Example)

In statistics, all variables are measured on one of four measurement scales: Nominal: Variables that have no quantitative values. Ordinal: Variables that have a natural…