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It took a few minutes to learn navigation, but once figured it out all is good. Still many features that i have only scanned thru that really look very helpful.
2017-10-27
Form 1099-misc accepted the data that I entered in each filed, and propagated it to all the required Copies; then prompted me to Submit to the IRS ... This simplifies my execution of Federally mandated processes ... Thank you very much!
Also, support staff is very responsive! Thank you!
2018-02-02
It's not often I even respond to satisfaction surveys because as a business owner seldom do I find a company that lives up to it's hype. However, I am more than pleased to say that PDF filler provides both an outstanding product and platform as well as stellar customer support. I am very happy to have found them and to engage them in my business activities.
2018-11-09
I think this is the most user friendly app and the customer service experience has been outstanding. I have MS and am computer challenged. Thank you for making my life a little easier.
2019-11-11
Easy to use and enabled me to use a PDF…
Easy to use and enabled me to use a PDF workbook for a course online - without having to print it out.
2019-11-11
Satisfied but no longer need service
I have been satisfied with the subscription and have used it with my work, however I am retiring the end of September and will no longer need this subscription
2021-08-23
Good
No Complaints but this survey popped up in the middle of drafting in the middle of the night. It would have been nice if it comes up later in the drafting.
2021-02-17
I love the product just don't have the need to justify a full subscription. I enjoyed the trial period and had great Customer Service when needed. Very prompt with replies. I would recommend this product.
2020-10-02
GREAT.
One month free trial with possibility to cancel and actually getting a refund.Customer service available 24/7 (even on a saturday night within 30 minutes!)Can absolutely recommend.Samuel Reider
2020-05-02
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How do you describe the correlation of a scatter plot?
A scatter plot is used to represent a correlation between two variables. There are two types of correlations: positive and negative. Variables that are positively correlated move in the same direction, while variables that are negatively correlated move in opposite directions.
How would you describe the relationship between two variables on a scatter plot?
The relationship between two variables is called their correlation. Scatter plots usually consist of a large body of data. The closer the data points come when plotted to making a straight line, the higher the correlation between the two variables, or the stronger the relationship.
How do you describe the relationship of a scatter plot?
0:00 1:54 Suggested clip Describing Scatter plots: Strength, Form, Direction, & Outliers YouTubeStart of suggested client of suggested clip Describing Scatter plots: Strength, Form, Direction, & Outliers
How do you describe the relationship between variables?
Correlation is a statistical technique that is used to measure and describe a relationship between two variables. Usually the two variables are simply observed, not manipulated. The correlation requires two scores from the same individuals. These scores are normally identified as X and Y.
How do you visualize the relationship between two variables?
order of the countries within each year. How each country's values changed. How the rates of change compare. The country (Britain) that does not fit the general pattern.
How do you describe a correlation?
Correlation is usually defined as a measure of the linear relationship between two quantitative variables (e.g., height and weight). Often a slightly looser definition is used, whereby correlation simply means that there is some type of relationship between two variables.
How do you explain correlation analysis?
Abstract. Correlation analysis is a statistical method used to evaluate the strength of relationship between two quantitative variables. A high correlation means that two or more variables have a strong relationship with each other, while a weak correlation means that the variables are hardly related.
How do you interpret a correlation?
Exactly 1. A perfect downhill (negative) linear relationship. 0.70. A strong downhill (negative) linear relationship. 0.50. A moderate downhill (negative) relationship. 0.30. No linear relationship. +0.30. +0.50. +0.70.
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