Linear Regression - Fun and Easy Machine Learning

Linear regression and just how simple it is to set one up to provide valuable information on the relationships between variables. Watch this video for a quick and easy solution to do a linear regression in Excel.

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Hi and welcome to a new lecture in the Fun and Easy Machine Learning Series. Today I’ll be talking about Linear Regression. We show you also how implement a linear regression in excel.

Linear regression attempts to model the relationship between two variables by fitting a linear equation to observed data. One variable is considered to be an explanatory variable, and the other is considered to be a dependent variable.

Dependent Variable – Variable who’s values we want to explain or forecast Independent or explanatory Variable that Explains the other variable. Values are independent.

Dependent variable can be denoted as y, so imagine a child always asking y is he dependent on his parents. And then you can imagine the X as your ex boyfriend/girlfriend who is independent because they don’t need or depend on you. A good way to remember it. Anyways

Used for 2 Applications To Establish if there is a relation between 2 variables or see if there is statistically signification relationship between the two variables-

• To see how increase in sin tax has an effect on how many cigarettes packs are consumed
• Sleep hours vs test scores • Experience vs Salary • Pokemon vs Urban Density • House floor area vs House price Forecast new observations – Can use what we know to forecast unobserved values Here are some other examples of ways that linear regression can be applied.

• So say the sales of ROI of Fidget spinners over time. • Stock price over time • Predict price of Bitcoin over time. Linear Regression is also known as the line of best fit

The line of best fit can be represented by the linear equation y = a + bx or y = mx + b or y = b0+b1x You most likely learnt this in school.

So b is is the intercept, if you inc ... https://www.youtube.com/watch?v=CtKeHnfK5uA