ECN 221 EXAM 3 EXAM WITH CORRECT
ACTUAL QUESTIONS AND CORRECTLY
WELL DEFINED ANSWERS LATEST
ALREADY GRADED A+
Sum of Squares Between (SSB) - ANSWERS-measures the
amount of variation between each sample mean xi and the
grand mean x
MSW - ANSWERS-We find this by dividing the sum of
squares within (SSW ) by n-k
F-distribution - ANSWERS--right-skewed and the rejection
region is in the right tail
-has two types of degrees of freedom, D1for SSB and D2 for
SSW
SSBL - ANSWERS-computes the among block variation -the
variation in the data we can explain with the identified
blocks
, SSE - ANSWERS-computes the random variation -all the
variation in the data we cannot explain anymore with the
available information
Simple regression analysis - ANSWERS--used to determine a
straight line that best fits a series of ordered pairs (x, y)
-uses only one independent variable
multiple regression - ANSWERS-includes more than one
independent variable
least squares method - ANSWERS--identifies the linear
equation that best fits a set of ordered pairs
-will minimize the sum of squares error (SSE)
regression line - ANSWERS-resulting best fit line is called this
mean square total - ANSWERS-another term for the
variance of the sample data
ACTUAL QUESTIONS AND CORRECTLY
WELL DEFINED ANSWERS LATEST
ALREADY GRADED A+
Sum of Squares Between (SSB) - ANSWERS-measures the
amount of variation between each sample mean xi and the
grand mean x
MSW - ANSWERS-We find this by dividing the sum of
squares within (SSW ) by n-k
F-distribution - ANSWERS--right-skewed and the rejection
region is in the right tail
-has two types of degrees of freedom, D1for SSB and D2 for
SSW
SSBL - ANSWERS-computes the among block variation -the
variation in the data we can explain with the identified
blocks
, SSE - ANSWERS-computes the random variation -all the
variation in the data we cannot explain anymore with the
available information
Simple regression analysis - ANSWERS--used to determine a
straight line that best fits a series of ordered pairs (x, y)
-uses only one independent variable
multiple regression - ANSWERS-includes more than one
independent variable
least squares method - ANSWERS--identifies the linear
equation that best fits a set of ordered pairs
-will minimize the sum of squares error (SSE)
regression line - ANSWERS-resulting best fit line is called this
mean square total - ANSWERS-another term for the
variance of the sample data
