Classify each phrase or term as applying to fly a only. fly b only. or both fly a and fly b. General guidance

Concepts and reason

Correlation coefficient: The correlation coefficient measures the degrees of linear relationship between two variables.

Regression is a technique that is used to determine relationship between two or more variables. That is, the change in the predictor variable influences the change in the dependent variable is determined. Moreover, in regression analysis which involves more than one independent variable, the change in the dependent is analyzed when the one independent variable is varied by keeping all other independent variables as constant.

If the data set is bivariate, then linear regression best suits the data. The straight line known as least squares regression line is obtained which best represents the data with two variables. The equation of the line is given by, Fundamentals

The formula for correlation coefficient is, The general formula for the slope of the regression line is given below: Here, and .

The general formula for the intercept of the regression line is given below: Step-by-step

Step 1 of 3

The statement “Can tell you whether one variable (such as smoking) causes another (such as cancer)” is related to neither correlation or nor regression.

Neither correlation or nor regression.

The statement “Can tell you whether one variable (such as smoking) causes another (such as cancer)” is related to neither correlation or nor regression.

Step 2 of 3

The statement “can be influenced by extreme values on one or both variables” is related to both correlation and regression.

Both correlation and regression.

The statement “can be influenced by extreme values on one or both variables” is related to both correlation and regression.

Step 3 of 3

The statement “Can tell you the degree to which a linear relationship exists between two variables” is related to correlation.

Correlation.

The statement “Can tell you the degree to which a linear relationship exists between two variables” is related to correlation.