Skip to content
← Business Mathematics and Basic Statistics

Business Mathematics and Basic Statistics · Class 12 Commerce

Ch 16Bivariate Statistics — Correlation and Regression — Class 12 Business Mathematics and Basic Statistics, concept-first.

So far, every measure this course has looked at — mean, mode, median, dispersion — has described a single variable at a time: marks in one subject, wages of one factory's workers, ages of one clinic's patients.

12

Q&A

5

Concepts

~7m

Unit weightage

Start learning — read this chapter →

Key concepts

Hover a concept to preview it and jump to its most relevant Q&A.

Chapter contents

The NCERT structure, section by section. Open a section to see its questions, then read the concept-first solution.

1

Idea of Bivariate Data and Covariance

So far, every measure this course has looked at — mean, mode, median, dispersion — has described a single variable at a time: marks in one subject, wages of one factory's workers, ages of one clinic's…

2

Pearson's Correlation Coefficient

Covariance tells us the direction in which two variables move together, but its size is tied to whatever units and happen to be measured in, so a covariance of, say, 1.2 carries no meaning on its own…

3

Spearman's Rank Correlation Coefficient

Pearson's correlation coefficient needs actual numerical values of and to work with. Sometimes, though, the data available is only an order — two judges ranking the same contestants, or two examiners…

4

Regression Coefficients — byx and bxy

Correlation tells us how strongly two variables are linearly related, but it does not by itself give a way to predict one variable's value from the other's.

5

Regression Lines and Their Point of Intersection

Each regression coefficient of the previous section is the slope of a straight line — the regression line — used for prediction.

Exercises

More questions