# The relationship is linear.
# The relationship is negative.
# There are.

# Variable 1: Sleep
# The variable looks abnormally distributed.
# The data is positively skewed.
# The data does not have a proper bell curve.

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

# Variable 1: Sleep
# The variable is abnormally distributed (p = 8.964e-08).

# Variable 2: Name of Variable
# The variable is abnormally distributed (p = .xx).

# A Pearson correlation was conducted to test the relationship between Variable 1 (M = 7.56, SD = 1.21) and Variable 2 (M = 3.80, SD = 2.66).

# There [was / was not] a statistically significant relationship between the two variables, r(150) = .61, p = < .001

# The relationship was negative and strong.

# As Variable 1 increased, Variable 2 decreased.

######### A5Q2: in ggscatter for xlab and y lab I chose sleep or xlab and phone for ylab when it should have been switched. Variable 2 p+.xx I belived that I frogot to imput the data that was given. For the last section I wrote: A Pearson correlation was conducted to test the relationship between Variable 1 (M = 7.56, SD = 1.21) and Variable 2 (M = 3.80, SD = 2.66). and it should have been: A Spearman correlation was conducted to test the relationship between phone use (Mdn = 3.27) and sleep duration (Mdn = 7.52). I am confused on how I got the incorrect numbers when it was calculated by rstuido. Unless I did not understand what information I was supposed to imput. Also following I wrote: There [was / was not] a statistically significant relationship between the two variables, r(150) = .61, p = < .001 when it should have been There [was] a statistically significant relationship between the two variables, ρ = -.61, p < .001. I forgot to select that there was a statistically significant relationship. as well my I wrote .61 when it should have been -.61.