Histograms & Scatter Plots

A histogram is a type of bar graph that represents the frequency distribution of numerical data. Each bar represents a range of values (intervals), and the height of the bar shows how many data points fall within that range.

A scatter plot is a graph that shows the relationship between two numerical variables. Each point on the graph represents an ordered pair of values.

A positive correlation means that as one variable increases, the other variable also tends to increase.

No correlation means that there is no predictable relationship between the two variables; changes in one variable do not affect the other.

The line of best fit is determined by finding a straight line that best represents the data points on the scatter plot, minimizing the distance between the line and all points.

The line of best fit helps to predict values and understand the relationship between the two variables represented in the scatter plot.

An interval in a histogram is a range of values that groups data points together to show frequency.

To read a histogram, look at the height of the bars to determine how many data points fall within each interval.

The height of a bar in a histogram represents the frequency or count of data points that fall within the corresponding interval.

The x-axis in a scatter plot represents one of the variables being analyzed, typically the independent variable.