2.1
The correlation r measures the strength and direction of the linear association
between two quantitative variables x and y. Although you can calculate a
correlation for any scatterplot, r measures only straight-line relationships.
Correlation indicate
Simple regression
Definition of correlation:
How to calculate a correlation from the R2
Interpretation of a regression coefficient as the expected change in the Y variable
for a one unit change in the X variable
Significance of the regression coeffici
11.3
Start the model-building process by performing data analysis for multiple linear
regression. Examine the distribution of the variables and the form of relationships among
them.
Note any categorical explanatory variables that have very few cases for s
11.1
Data for multiple linear regression consist of the values of a response variable y and p
explanatory variables x1, x2, , xp for n cases. We write the data and enter them into
software in the form
Data analysis for multiple regression starts with an e
10.2
The estimated mean response for the subpopulation corresponding to the value x* of the
explanatory variable is found by substituting = * in the equation of the least-squares
regression line:
The predicted value of the response y for a single observat