[12/10 TUES] Scatter Plot Predictions and Line of Best Fit

Front

What is a scatter plot?

Back

A scatter plot is a graph that shows the relationship between two variables by displaying data points on a two-dimensional grid.

Front

What does the line of best fit represent in a scatter plot?

Back

The line of best fit represents the trend in the data points, showing the overall direction of the relationship between the two variables.

Front

When is there no line of best fit for a scatter plot?

Back

There is no line of best fit when the data points do not show any clear trend or pattern.

Front

What is the purpose of predicting values using a scatter plot?

Back

The purpose is to estimate the value of one variable based on the value of another variable using the trend shown in the scatter plot.

Front

How do you determine the line of best fit visually?

Back

You determine the line of best fit by drawing a straight line that best represents the data points, minimizing the distance from the points to the line.

Front

What does it mean if the data points in a scatter plot are tightly clustered around the line of best fit?

Back

It indicates a strong correlation between the two variables, meaning that as one variable changes, the other variable tends to change in a predictable way.

Front

What is a positive correlation in a scatter plot?

Back

A positive correlation occurs when an increase in one variable corresponds to an increase in the other variable, resulting in an upward trend.

Front

What is a negative correlation in a scatter plot?

Back

A negative correlation occurs when an increase in one variable corresponds to a decrease in the other variable, resulting in a downward trend.

Front

What is the significance of outliers in a scatter plot?

Back

Outliers are data points that fall far from the trend of the other points and can significantly affect the line of best fit.

Front

How can you use a scatter plot to make predictions?

Back

You can use the line of best fit to estimate the value of one variable based on the known value of the other variable.