Khan Academy
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Khan Academy
Review of the correlation coefficient, including its definition, calculation, and interpretation in the context of scatterplots.
Linear regression review - Khan Academy
Linear regression is a process of drawing a line through data in a scatter plot. The line summarizes the data, which is useful when making predictions.
Khan Academy
Learn to interpret scatter plots and understand relationships between variables in this Khan Academy lesson.
Khan Academy
Practice identifying the types of associations shown in scatter plots. Sometimes we see linear associations (positive or negative), sometimes we see non-linear associations (the data seems to follow a curve), and other times we don't see any association at all.
Khan Academy
And so on this scatter plot here, each dot represents a person. So, for example, this dot over here represents a person whose height was 60 inches, or five feet tall. So that's the point 60 comma, and whose weight, which we have on the y-axis, was 125 pounds. And so when you look at this scatter plot, your eyes naturally see some type of a trend.
خان اکیڈیمی - Khan Academy
Constructing scatter plots. Making appropriate scatter plots. Positive and negative linear associations from scatter plots. ... in scatter plots. Clusters in scatter plots. Describing scatterplots (form, direction, strength, outliers) Scatterplots and correlation review. Math > Statistics and probability > Exploring bivariate numerical data ...
Finding patterns in data sets - Khan Academy
Statisticans and data analysts typically express the correlation as a number between − 1 and 1 , where − 1 is a strong negative correlation, 1 is a strong positive correlation, and 0 is no correlation. You can learn more about correlation coefficients on Khan Academy.
Cancel - Khan Academy
Does the time an exam happens affects the scores? Aubrey gathered info. Then she made a scatter plot with the time of day on the bottom (on the horizontal axis) and the scores on the side (on the vertical axis). She didn't find a clear pattern.
Khan Academy
Introduction to residuals and least-squares regression in statistics, including their definition and interpretation.