666) ST Linear Models Part 0

Question 1

What is Linear Regression?

Answer 1

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.

Also called Line of the best fit.

y=alpa+beta(x)

beta affects diretction of slope

alpha moves slope up and down

Express observations on y as a linear function of obseravtions on x.

Question 2

What is dependent variable?

Answer 2

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

Question 3

Examples where it could be used?

Answer 3

Correlation between experience and salary?

Or how many consumed drinks can affect sigarets packed smoked?

How many sleep hours would make and influence on overall grade of a student?