Suppose a straight line is fit to data having response variable y and explanatory variable x. Predicting values of y for values of x outside the range of the observed data is called .....

REGRESSION

Please wait while the activity loads.
If this activity does not load, try refreshing your browser. Also, this page requires javascript. Please visit using a browser with javascript enabled.

If loading fails, click here to try again

Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]

Suppose a straight line is fit to data having response variable y and explanatory variable x. Predicting values of y for values of x outside the range of the observed data is called ____

A	extrapolation
B	causation
C	correlation
D	interpolation

Explanation:

Detailed explanation-1: -Suppose a straight line is fit to data having response variable y and explanatory variable x. Predicting values of y for values of x outside the range of the observed data is called causation. correlation.

Detailed explanation-2: -Independent variables are also called: Explanatory variables (they explain an event or outcome) Predictor variables (they can be used to predict the value of a dependent variable)

Detailed explanation-3: -A response variable is a type of dependent variable. It is the one that changes the results. Furthermore, a response variable is the expected effect, and it responds to explanatory variables.

There is 1 question to complete.

RESEARCH METHODOLOGY

STATISTICAL TECHNIQUES AND TOOLS

REGRESSION