Scatterplots and its Line of best fit

Front

What is a scatterplot?

Back

A scatterplot is a graphical representation of two variables where each point represents an observation in the dataset, showing the relationship between the two variables.

Front

What does the line of best fit represent in a scatterplot?

Back

The line of best fit is a straight line that best represents the data points in a scatterplot, indicating the trend or relationship between the two variables.

Front

How can you determine the line of best fit visually?

Back

The line of best fit can be determined visually by drawing a line that minimizes the distance between the line and all the data points in the scatterplot.

Front

What is the purpose of using a line of best fit?

Back

The purpose of using a line of best fit is to make predictions about one variable based on the value of another variable.

Front

What does a positive correlation in a scatterplot indicate?

Back

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

Front

What does a negative correlation in a scatterplot indicate?

Back

A negative correlation indicates that as one variable increases, the other variable tends to decrease.

Front

What does it mean if there is no correlation in a scatterplot?

Back

If there is no correlation, it means that there is no discernible relationship between the two variables; changes in one variable do not predict changes in the other.

Front

How can you use a scatterplot to make predictions?

Back

You can use a scatterplot to make predictions by locating a value on one axis and using the line of best fit to find the corresponding value on the other axis.

Front

What is the significance of outliers in a scatterplot?

Back

Outliers are data points that fall far away from the other points in the scatterplot and can significantly affect the line of best fit and the overall analysis.

Front

What is the formula for calculating the slope of the line of best fit?

Back

The slope of the line of best fit can be calculated using the formula: (change in y) / (change in x) between two points on the line.