Scatter plot was also generated to verify the linearity of dependent (axilla temperature) and independent (oral temperature) variables of the two different genders (male and female) from those 30 subjects.
Moreover, Pearson’s R was computed. It was used to determine correlation coefficients between the two different genders’ from the 30 subjects’ oral and axilla temperatures.
Is this relationship the same for males and females?
Results:
Scatter Plot
The scatter plot appears to follow a general positive linear trend. There is no violation of the linearity assumption.
Part 2: Final Statement
There are positive, moderate and significant associations between a person’s oral and axilla temperatures for different gender with the association for male and female. The association for male is r=0.466, p=0.080, N=15 and female association is r=0.560, p=0.030 and N=15.
We choose 0.10 as the significance level. Reject Ho since both p<0.10, whereby there are relationship between oral and axilla temperatures in a person with the association for male and female.
Labels: ANALYSIS OF DATA
