Tutorial - What are the different correlations for a scatter plot

The video tutorial explains different types of correlation: positive, negative, and no correlation. It uses graphs and scatter plots to illustrate how data points can show these correlations. Positive correlation is when data points trend upwards, while negative correlation is when they trend downwards. The video also distinguishes between strong and weak correlations, depending on the clarity of the trend. Examples using student grades over a year help clarify these concepts.

What does it mean when a graph shows Y values rising to the right?

• The graph is showing a positive correlation.

• The graph is showing a constant correlation.

• The graph is showing no correlation.

• The graph is showing a negative correlation.

In a scatter plot, what indicates no correlation between two variables?

• The points form a straight line.

• The points are scattered randomly.

• The points form a U-shape.

• The points form a V-shape.

What characterizes a strong positive correlation in a scatter plot?

• The points are scattered with no clear direction.

• The points form a downward slope.

• The points form an upward slope with few outliers.

• The points form an upward slope with many outliers.

How can you identify a weak negative correlation?

• The Y values form a perfect downward line.

• The Y values remain constant.

• The Y values decrease with some outliers present.

• The Y values increase as you move from left to right.

What is the main difference between strong and weak correlations?

• Strong correlations have a clearer direction.

• Strong correlations have more outliers.

• Weak correlations have no direction.

• Weak correlations have a clearer direction.