# The relationship is linear.
# The relationship is positive.
# There are outliers.

# Variable 1: Age
# The variable looks normally distributed.
# The data is symmetrical.
# The data has a proper bell curve.

# Variable 2: Education
# The variable looks abnormally distributed.
# The data is positively skewed.
# The data does not have a proper bell curve.

# Variable 1: Age
# The variable is normally distributed (p = .5581).

# Variable 2: Education
# The variable is abnormally distributed (p = .4385).

# A Pearson correlation was conducted to test the relationship between Variable 1 (M = 35.33, SD = 111.45) and Variable 2 (M = 13.83, SD = 2.6).

# There was a statistically significant relationship between the two variables, r(148) = .52, p = .001

# The relationship was positive and weak.

# As Variable 1 increased, Variable 2 increased.