After some training, one of the typists was told that thespeed he attained had a residual of 4.3 words per minute.How should he interpret this?A) He types slower than the model predicted, given theamount of time he spent training.B) He types faster than the model predicted, given theamount of time he spent training.C) He can’t interpret his residual without also knowingthe correlation.D) He can’t interpret his residual without also knowingthe size of other people’s residuals.E) He can’t interpret his residual without also knowingthe standard deviation of the residuals.
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
After some training, one of the typists was told that the
speed he attained had a residual of 4.3 words per minute.
How should he interpret this?
A) He types slower than the model predicted, given the
amount of time he spent training.
B) He types faster than the model predicted, given the
amount of time he spent training.
C) He can’t interpret his residual without also knowing
the correlation.D) He can’t interpret his residual without also knowing
the size of other people’s residuals.
E) He can’t interpret his residual without also knowing
the standard deviation of the residuals.
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