394,685 views
3 votes
3 votes
What is the primary difference between a simple linear regression and a multiple linear regression?There is more than one response variableThere is more than one explanatory variableThe correlation coefficient is above 0.8The coefficient of determination is above 0.8

User Tho Bui Ngoc
by
2.6k points

1 Answer

28 votes
28 votes

Remember that

Simple linear regression has only one x and one y variable. Multiple linear regression has one y and two or more x variables.

therefore

The answer is

There is more than one explanatory variable

User Jannik Anker
by
2.8k points