Making Predictions from Scatter Plots

Front

What is a scatter plot?

Back

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

Front

What does a trend line represent in a scatter plot?

Back

A trend line is a straight line that best represents the data points in a scatter plot, indicating the general direction of the data.

Front

How can you determine if a trend line is a good fit for a scatter plot?

Back

A good trend line closely follows the pattern of the data points, minimizing the distance between the points and the line.

Front

What does it mean if the points in a scatter plot are widely spread out?

Back

Widely spread out points indicate a weak correlation between the two variables, suggesting that changes in one variable do not predict changes in the other.

Front

What is correlation in the context of scatter plots?

Back

Correlation refers to the strength and direction of a relationship between two variables, which can be positive, negative, or none.

Front

What does a positive correlation look like in a scatter plot?

Back

A positive correlation is indicated by a trend line that slopes upwards from left to right, meaning as one variable increases, the other also increases.

Front

What does a negative correlation look like in a scatter plot?

Back

A negative correlation is indicated by a trend line that slopes downwards from left to right, meaning as one variable increases, the other decreases.

Front

What is the purpose of making predictions from a scatter plot?

Back

Making predictions from a scatter plot allows us to estimate the value of one variable based on the value of another variable.

Front

How do you interpret the slope of a trend line?

Back

The slope of a trend line indicates the rate of change between the two variables; a steeper slope means a greater change.

Front

What is the y-intercept in a trend line?

Back

The y-intercept is the point where the trend line crosses the y-axis, representing the value of the dependent variable when the independent variable is zero.