Scatter Plots

How can scatter plots be used in real-world applications?

• To analyze relationships and trends in various fields such as economics, biology, and social sciences.

• To create bar graphs for data representation.

• To measure the central tendency of a dataset.

• To visualize data in a circular format.

How can you identify the correlation type in a scatter plot?

• By observing the color of the data points

• By analyzing the size of the data points

• By observing the direction of the data points: upward slope for positive, downward slope for negative, and random distribution for no correlation.

• By counting the number of data points in the plot

What does a negative correlation in a scatter plot indicate?

• A negative correlation indicates that as one variable increases, the other variable decreases.

• A negative correlation indicates that both variables increase together.

• A negative correlation indicates that there is no relationship between the variables.

• A negative correlation indicates that as one variable decreases, the other variable increases.

What does 'no correlation' mean in the context of a scatter plot?

• There is a strong relationship between the two variables.

• Changes in one variable affect the other variable.

• There is no discernible relationship between the two variables; changes in one do not affect the other.

• The two variables move in the same direction.

What is the difference between correlation and causation?

• Correlation indicates a relationship between two variables, while causation implies that one variable directly affects the other.

• Correlation means that two variables are identical, while causation means they are different.

• Correlation suggests that one variable is a result of the other, while causation shows no relationship.

• Correlation and causation are interchangeable terms that mean the same thing.

What is the role of the dependent variable in a scatter plot?

• It is plotted on the x-axis and is the variable that is manipulated.

• It is plotted on the y-axis and is the variable that is measured or observed in response to changes in the independent variable.

• It represents the constant value in the experiment.

• It is used to determine the slope of the line in the scatter plot.

What is the role of the independent variable in a scatter plot?

• The independent variable is plotted on the y-axis and is the variable that is manipulated.

• The independent variable is plotted on the x-axis and is the variable that is manipulated or changed to observe its effect on the dependent variable.

• The independent variable is the outcome that is measured in the experiment.

• The independent variable is a constant that does not change during the experiment.

What is the equation of a line in slope-intercept form?

• y = mx + b

• y = bx + m

• y = mx - b

• y = m + bx

What is the significance of outliers in a scatter plot?

• Outliers are data points that deviate significantly from the trend of the rest of the data; they can affect the slope and correlation.

• Outliers are always the highest values in the dataset and indicate a strong correlation.

• Outliers are irrelevant and should be removed from the dataset for accurate analysis.

• Outliers represent the average of the data points and help in determining the mean.

What does the y-intercept represent in a linear equation from a scatter plot?

• The value of the dependent variable when the independent variable is zero.

• The slope of the line in the scatter plot.

• The point where the line crosses the x-axis.

• The average of all dependent variable values.