Select the best response. The explanatory variable in a linear correlation and regression problem is recorded on this measurement scale: a. categorical, b. ordinal, c. quantitative. What is the mathematical equ
It is used when the dependent variable is binary or categorical. It models the probability of an event occurring by fitting a logistic function to the independent variables. The output is a probability score that can be used to classify instances into different classes. It is widely used in cl...
Linear regression is a basic component insupervised learning. At its core, it can help determine if one explanatory variable can provide value in predicting the outcome of the other. For example, does ad spending on one medium or another have any meaningful impact on sales? In the most basic...
What is an outlier in a data set? What is sampling theory? What is the difference between trends and outliers for a set of data? What is correlation coefficient? What is an Algorithm Trace Table? What are semantic cues? What is empirical rule (stats)? What technique in descriptive statisti...
If you’re not certain what to do in the beginning, it doesn’t really matter. You can always add or remove virtual adapters after the switch is created. Personally, I never create an adapter on the virtual switch by using the Allow… checkbox or the -AllowManagementOS parameter. I alway...
To explain that I am going to give you an overall picture of the supervised machine learning process. "Machine Learning" is simply "Machine" and "Learning". Nothing more and nothing less. In a supervised machine learning process, we are giving machine/computer/models specific inputs or data(...
More and more tourists are sharing their experiences on their social media through a combination of photos, texts, and hashtags. But there is a scarcity of studies in literature on analyzing tourists’ visual content in relation to tourism destinations.
In addition, it is important to control for intraday seasonalities and lagged volatility in order to not overstate the importance of news. As a final empirical exercise, we provide an application of our news database to the importance of monetary policy shocks for asset prices (e.g., Kuttner...
I am trying to find a suitable algorithm for a situation similar to uplift models (Y=0/1, Treatment=0/1) but in this case my treatment has 4 levels (1-4) representing different offers and my dependent is a continuous variable for which i am trying to predict the offer t...
What is a confounding variable? What is an example of a qualitative variable? Fill in the blank: in regression problems, the explanatory variable is referred to as the independent variable and the response variable is referred to as the ___ variable. How do you ...