This project seeks to determine the relation that may exist between a person's height and head circumference (in inches)?
STEP 1: Collect data from 15 people. Measure each person's height (in inches) and then the person's head circumference (in inches), which is the distance around the person's head measured around the forehead. Record your data in a table similar to the one below. Your results will be more generalizable if you collect data from people of many different ages and heights.
5pts
STEP 2: a. Create a scatter plot of the data. Use the height as the explanatory variable and head circumference as the response variable.
b. Describe the relationship that you observe between a person's height and head circumference. Is the relationship positive or negative? Is the relationship strong or weak?
STEP 3: , Calculate the correlation coefficient, r.
5pts
4pts
a. Is the correlation coefficient statistically significant at the 0.05 level of significance? Show how you make that decision.
b. What about the 0.01 level of significance?
c. Interpret what it means for the correlation coefficient to be statistically significant for this scenario.
STEP 4: a. Determine the equation of the regression line, hat(y)=b_(0)+b_(1)x. Find the predicted values of the following based on your model.
This project seeks to determine the relation that may exist between a person's height (in and head circumference (in inches)?
STEP1:
the person's head circumference (in inches),which is the distance around the
[5pts]
people of many different ages and heights.
Height Head Circumference
STEP 2:
a.
and head circumference as the response variable.
b.
head circumference. Is the relationship positive or negative? Is the relationship strong or weak? [5pts]
STEP3:
[4pts]
Calculate the correlation coefficient,r
a.
Is the correlation coefficient statistically significant at the 0.05 level of significance? Show how you make that decision.
b.
What about the 0.01 level of significance?
C.
Interpret what it means for the correlation coefficient to be statistically significant for this scenario.
STEP 4:
Determine the equation of the regression line, y=bo+b,x. Find the predicted values of the following based on your model.
a.