Statistics, Correlation and Regression in Mathematics

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Statistics, Correlation and Regression in Mathematics

Learn how to use univariate and bivariate analysis for different types of data with this free online statistics course.

Probability and Statistics
Free Course
This free online statistics course is the first in a series of upper-secondary mathematics courses, designed to teach you about statistics, correlation, and regression in a clear, simple, and easy to grasp manner. Many students have difficulty with statistics, but with these clear, easy explanations we're confident that we can get you ready for any test. Take this course today to learn about statistics, correlation, and regression.
  • Duration

    1.5-3 Hours
  • Certification

  • Publisher

  • Accreditation






View course modules


This online statistics course will first cover the main types of univariate data. Here, you will gain a strong understanding of categorical data and numerical data, which is further categorized into continuous data and discrete data. You will then learn how to display data using bar graphs and stem and leaf graphs. Next, you will study bivariate data and cover topics on dependent and independent data, stemplots and boxplots. You will also be guided through important statistical methods such as calculating the mean, median, and mode.

Next, the statistics course will introduce you to the concept of an interquartile range and teach you how to create boxplots. You will also study important aspects of data distribution, learn how to calculate and interpret seasonal indices, and how to deseasonalise data. Next, you will move on to the subjects of coefficients of determination, scatterplots, and calculating r. The course will wrap up with the topics on regression line, non-linear data, residual analysis, and trends.

This free statistics course is suitable for math students who are looking for a study aid to help them understand statistics a little more clearly. As the lessons also provide effective exam study techniques, they will also be great help for anyone preparing for examinations. So why wait? Check out the Statistics, Correlation, and Regression in Mathematics course today and start bringing your statistics skills to the next level.

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Bivariate data

Calculating a seasonal index


Exam techniques and tips

Non-linear data


Regression line

Residual analysis

Summary statistics



Univariate data 2

Univariate data


Learning Outcomes

On completing of this course you will have a good understanding of univariate data, the types of univariate data and displaying this type of data.

You will know bivariate data such as dependent, independent variables, parallel boxplots, stemplots, graphical display and much more. You will know how to calculate the mean, median and mode when analysing statistics.

You will be able to identify and calculate the interquartile range, standard deviation and boxplots using your calculator. You will know symmetry, calculating a seasonal index, coefficient, regression line, trends and much more.

This course will teach you effective exam techniques and tips to help you prepare successfully for your exam.


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