Bivariate Data

What is a non-linear correlation?

• A relationship between two variables that can be represented by a straight line.

• A relationship between two variables that cannot be accurately represented by a straight line.

• A relationship where one variable increases as the other decreases.

• A relationship that shows no connection between the two variables.

How do you identify a negative correlation in a scatter plot?

• A negative correlation is identified when, as one variable increases, the other variable tends to decrease, resulting in a downward trend.

• A negative correlation is identified when both variables increase together, resulting in an upward trend.

• A negative correlation is identified when there is no discernible pattern in the scatter plot.

• A negative correlation is identified when one variable remains constant while the other variable fluctuates.

What is a scatter plot?

• A type of bar graph that displays categorical data.

• A graph that shows the relationship between two quantitative variables by displaying data points.

• A pie chart that represents parts of a whole.

• A line graph that depicts changes over time.

What does no correlation mean in a scatter plot?

• There is a strong positive relationship between the two variables.

• There is a strong negative relationship between the two variables.

• No correlation means there is no discernible relationship between the two variables; the data points do not show any trend.

• The data points form a perfect linear trend.

What is a linear correlation?

• A relationship between two variables that can be represented by a straight line.

• A relationship where one variable increases while the other decreases.

• A statistical measure that indicates the extent to which two variables fluctuate together.

• A type of correlation that can only be represented in a circular manner.

What are coordinates in a scatter plot?

• Coordinates are the ordered pairs (x, y) that represent the position of a point on the scatter plot.

• Coordinates are the random points plotted on the graph without any specific order.

• Coordinates are the labels used to identify the axes of the scatter plot.

• Coordinates are the values that indicate the size of the points in the scatter plot.

What does it mean if a scatter plot has a weak correlation?

• The data points are closely clustered around the line of best fit, indicating a strong relationship between the variables.

• The data points are more spread out from the line of best fit, indicating a weaker relationship between the variables.

• There is no relationship between the variables, and the scatter plot shows random points.

• The data points form a perfect line, indicating a perfect correlation.

How do you identify a positive correlation in a scatter plot?

• A positive correlation is identified when, as one variable increases, the other variable also tends to increase, resulting in an upward trend.

• A positive correlation is identified when one variable decreases while the other variable increases, resulting in a downward trend.

• A positive correlation is identified when both variables remain constant, showing no change in the scatter plot.

• A positive correlation is identified when the data points are randomly scattered without any discernible pattern.

What is an outlier in a scatter plot?

• A data point that is significantly different from other observations, often lying far away from the main cluster of points.

• A data point that is exactly in the center of the cluster of points.

• A data point that is the average of all other points in the plot.

• A data point that is repeated multiple times in the dataset.

What does it mean if a scatter plot has a strong correlation?

• A strong correlation means that the data points are closely clustered around the line of best fit, indicating a strong relationship between the variables.

• A strong correlation indicates that the data points are randomly distributed across the plot.

• A strong correlation suggests that there is no relationship between the variables.

• A strong correlation means that the data points are spread out evenly across the plot.