REGRESSION ANALYSIS

Question 1

Is a statistical method that makes use of 2 or more quantitative variables so that the dependent variable/response (Y) can be explained by the independent/explanatory variable (X).

Answer 1

Regression Analysis

Question 2

In y = a + bx, 
 y is the \_\_\_\_\_\_\_
x is the \_\_\_\_\_\_\_
a is the \_\_\_\_\_\_\_
b is the \_\_\_\_\_\_\_

Answer 2

y is the dependent variable
x is the independent variable
a is the constant
b is the coefficient of X; how X affect Y [either (- )or (+)]

Question 3

formula of a (the constant)

Answer 3

a = y - bx

Question 4

formula of b (the coefficient of x)

Answer 4

b = n(summation of xy) - (summation of x)(summation of y) / n(summation of xsquared) - (summation of x)squared

Question 5

Similar to simple linear regression except that it uses multiple predictors.

Answer 5

Multiple Linear Regression

Question 6

It is the concept of picking variables with the exact same effect.

Answer 6

Multicollinearity

Question 7

Y: dependent variable is also called _______ variable.

X: independent is also called _______ variable.

Answer 7

response variable (Y) 
explanatory variable (X)