Reply to:
The most common correlation is the Pearson correlation that measures the degree and the direction of the linear relationship between two variables; when there is a perfect linear relationship, every change in the X variable is accompanied by a corresponding change in the Y variable (Gravetter, 2021). So, a correlation is a statistical technique used to measure and describe the relationship between two variables. A positive correlation is a relationship in which two variables tend to change in the same direction and a negative correlation is a correlation in which two variables tend to go in opposite directions (Gravetter, 2021). The Pearson correlation consists of a ratio comparing the coverability of X and Y (the numerator) with the variability of X and Y separately (the denominator) (Gravetter, 2021). It’s important to address the fact that a correlation simply describes a relationship between two variables and It does not explain why the two variables are related so it cannot be interpreted as proof of a cause-and-effect relationship between the two variables (Gravetter, 2021).
Why Choose Us
- 100% non-plagiarized Papers
- 24/7 /365 Service Available
- Affordable Prices
- Any Paper, Urgency, and Subject
- Will complete your papers in 6 hours
- On-time Delivery
- Money-back and Privacy guarantees
- Unlimited Amendments upon request
- Satisfaction guarantee
How it Works
- Click on the “Place Order” tab at the top menu or “Order Now” icon at the bottom and a new page will appear with an order form to be filled.
- Fill in your paper’s requirements in the "PAPER DETAILS" section.
- Fill in your paper’s academic level, deadline, and the required number of pages from the drop-down menus.
- Click “CREATE ACCOUNT & SIGN IN” to enter your registration details and get an account with us for record-keeping and then, click on “PROCEED TO CHECKOUT” at the bottom of the page.
- From there, the payment sections will show, follow the guided payment process and your order will be available for our writing team to work on it.