Interpret Scatterplot

What does a positive correlation on a scatterplot indicate?

• As one variable increases, the other variable tends to decrease.

• There is no relationship between the two variables.

• As one variable decreases, the other variable tends to increase.

• As one variable increases, the other variable also tends to increase.

What does a negative correlation on a scatterplot indicate?

• As one variable decreases, the other variable decreases.

• As one variable increases, the other variable increases.

• There is no relationship between the two variables.

• As one variable increases, the other variable decreases.

What does no correlation on a scatterplot indicate?

• A positive relationship between the variables.

• A negative relationship between the variables.

• A strong relationship between the variables.

• No relationship between the variables

How can outliers affect the interpretation of a scatterplot?

• Outliers have no effect on the interpretation of a scatterplot.

• Outliers can improve the accuracy of estimates and summary statistics.

• Outliers only affect the visual appearance of the scatterplot, not the interpretation.

• Outliers can distort the overall pattern and trend in the data, leading to inaccurate estimates and summary statistics.

How can you use a scatterplot to make predictions?

• By analyzing the pattern or trend observed on the scatterplot.

• By connecting the dots on the scatterplot with a straight line.

• By ignoring the scatterplot and using other data sources.

• By randomly selecting points on the scatterplot.

What is the purpose of adding a trendline to a scatterplot?

• To visually represent the relationship between variables and identify patterns or trends.

• To confuse the viewer and make the data harder to interpret.

• To make the scatterplot look more visually appealing.

• To add unnecessary complexity to the scatterplot.

What type of correlation does the following scatterplot show?

• Positive

• Negative

• None

Estimate the correlation coefficient.

• r is close to 1

• r is close to -1

• r is close to 0

• r is close to -0.5

• r is close to 0.5

Interpret the following scatterplot for strength and direction

• Positive Strong

• Negative Strong

• Positive Very Strong

• Negative Very Strong

Interpret the following scatterplot for strength and direction

• Positive Strong

• Negative Strong

• Positive Moderate

• Negative Moderate