Step 1

Correlation:

Correlation analysis is used to measure the strength of the association between quantitative variables.

Step 2

Form:

The form of the association describes whether the data points follow a linear pattern or some other complicated curves. For data if it appears that a line would do a reasonable job of summarizing the overall pattern in the data. Then, the association between two variables is linear.

Direction:

If the above average values of variable tend to correspond to above average values of another variable, then the direction is positive. If the below average values of variable tend to correspond to above average values of another variable, then the direction is negative.

Strength:

The association is said to be strong if all the points are close to the straight line. It is said to be weak if all points are far away from the straight line and it is said to be moderate if the data points are moderately close to straight line.

Correlation value lies between -1 to +1.

-1 indicates strong negative relationship between the two variables.

0 indicates no relationship between the two variables.

+1 indicates strong Positive relationship between the two variables.

Correlation:

Correlation analysis is used to measure the strength of the association between quantitative variables.

Step 2

Form:

The form of the association describes whether the data points follow a linear pattern or some other complicated curves. For data if it appears that a line would do a reasonable job of summarizing the overall pattern in the data. Then, the association between two variables is linear.

Direction:

If the above average values of variable tend to correspond to above average values of another variable, then the direction is positive. If the below average values of variable tend to correspond to above average values of another variable, then the direction is negative.

Strength:

The association is said to be strong if all the points are close to the straight line. It is said to be weak if all points are far away from the straight line and it is said to be moderate if the data points are moderately close to straight line.

Correlation value lies between -1 to +1.

-1 indicates strong negative relationship between the two variables.

0 indicates no relationship between the two variables.

+1 indicates strong Positive relationship between the two variables.