A linear regression model describes the relationship between a dependent variable, y, and one or more independent variables, X. The dependent variable is also called the response variable. Independent variables are also called explanatory or predictor variables. Continuous predictor variables are also ca...
Stats come in three types: Descriptive Statistics.Describe data. Includessample meanorsample median.Order statisticsare a subset of descriptive statistics. They tell you something about how the data is ordered. For example, measurements like the sample minimum. You know the order is #1. Also inclu...
Statistics is so unique because it can go from health outcomes research to marketing analysis to the longevity of a light bulb. It’s a fun field because you really can do so many different things with it. Besa Smith President and Senior Scientist ...
no! cuz since -.82 is close to 1, it actually does have a strong association a random sample of records of electricity usage of homes gives the amount of electricity used in July ad size ( in sq ft) of 135 homes. a regression to predict the amount of electricity used from size was...
It’s a simple question: What is a survey? It seems like a simple question, but as with many things, the answer is more complex than many people appreciate.
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Hi, I really hope someone can help me...I have a big data set and I want to find out which variables have the most impact on employment status. I believe I...
Collinearity denotes when two independent variables in a regression analysis are themselves correlated; multicollinearity signifies when more than two independent variables are correlated.1 Their opposite is orthogonality, which designates when independent variables are not correlated. Multicollinearity prevents pr...
Whereas, regression is used to predict the responses of continuous variables such as stock price, house pricings, the height of a 12-year old girl, etc. Advantages and Disadvantages of Supervised Learning Next, we are checking out the pros and cons of supervised learning. Let us begin with ...