To analyse Part 1: Is a person’s oral temperature related to axilla temperature
Scatter plot was produced to check for the linearity and homogenous variance whereby the assumption of the relationship between the dependent (axilla temperature) and independent (oral temperature) variables of the 30 individual subjects should be linear.
Further that, Pearson’s R was computed. When oral and axilla variables for those 30 individual subjects were measured on a scale, Pearson’s R was used to ascertain the correlation coefficients which measure the strength of the linear association between these two variables.
Further that, Pearson’s R was computed. When oral and axilla variables for those 30 individual subjects were measured on a scale, Pearson’s R was used to ascertain the correlation coefficients which measure the strength of the linear association between these two variables.
Is a person’s oral temperature related to axilla temperature?
Results:
Scatter Plot
The scatter plot appears to follow a general positive linear trend. There is no violation of the linearity assumption.
Part 1: Final Statement
There is a positive, moderate and significant association between oral and axilla temperatures in a person. (r=0.418, p=0.022, N=30)
We choose 0.10 as the significance level. Reject Ho since p<0,10, whereby there is a relationship between oral and axilla temperatures in a person.
Labels: ANALYSIS OF DATA
