## Are the results as expected? What do the results tell you about the relationship of the two variables? If the correlation is strong, is it likely to be due to causation, an underlying cause, or coincidence.

1) Summary Statistics

For both quantitative variables
Mean, Standard deviation, and Five Number Summary
2) Histograms

For both variables
Discuss shapes of both the histograms
3) Comparative Analysis

Summary statistics of the two quantitative variables for each of the socio-economic regions.
Comparative Boxplots (side by side boxplots)
4) Hypotheses

Test one hypotheses about each of the two quantitative variables.
Give ALL five steps discussed.
5) Conclusions
Does your initial assumption hold true? Discuss.

6/
Draw a scatterplot for two quantitative variables.
Compute correlation coefficient.
Be sure to discuss the strength and direction of the correlation.
Are the results as expected? What do the results tell you about the relationship of the two variables?
If the correlation is strong, is it likely to be due to causation, an underlying cause, or coincidence. If the correlation is weak, is there an explanation that it is weaker than you assumed when choosing the variables?