Week 7 disscusion post 1
6. What clues should one look for in the wording of a problem or in how a situation is defined
that would help one decide if linear regression is the appropriate methodology to use to solve
the problem or resolve the situation? How do you know?
We need to look for the variables, sample size, and assumptions. We would need to pay
attention to the relationship between the independent variables.
Linear regression is
commonly used when the dependent variable (the variable being predicted or explained) is
continuous. If the problem involves predicting a value that falls on a continuous scale, such as
predicting house prices, sales revenue, or temperature, linear regression may be appropriate.
Post 2 Question 10
1.
What graphic presentation would help a beauty salon track preferred hair colors
so that they can ensure that they have the appropriate numbers of various hair
dyes in stock to meet demand? Why?
A bar graph would be the best graphic presentation. It would give you an exact number of
customers with each color as well as easily show you which is more popular.
Post 3
in this course, we have studied confidence intervals, hypothesis tests, and linear
regression. How can you decide which of these methodologies to use to resolve a given
situation? Which would you use in each of these situations?
1.
Can study time and hours of sleep estimate a student’s test grade? Linear
regression because there is 2 different variables.
2.
Is the average size of dogs in the U.S. different from the average size of dogs in
Europe? I would say hypothesis testing. There is only 1 variable to answer for the
average size of a dog.
3.
How does the estimated mean cost of groceries at Whole Foods compare with
that at Target? We would use confidence intervals for this type of situation.
