This is a rather confused question.
The first issue is the assumption that there is an independent variable and a dependent variable. If your data comprise measurements of the height and mass (weight) of school children, which one is the independent variable? The answer is: neither. It is most likely to be age.
A second issue is the very serious danger of confusing correlation with causality. Yes, statistics may show high correlation but that does not imply causality. A simplistic example from economics: correlation between companies with large profits and large investment in machinery. Profitability is required to enable the company to finance investment. Proper investment helps the company become more competitive and so generate more profits.
Finally, consider the two variables X and Y. X is uniform on the interval [-p, p]; Y = X^2. The regression coefficient between X and Y is 0 but the relationship is far from non-existent. You need some educated guesses to find the correct statistics to make educated guesses!
Accurate publishers' records probably only stretch back about 150 years, so earlier statistics are probably educated guesses.
Were roman shopkeepers educated Were roman shopkeepers educated
The hypothesis is an educated guess.
An educated guess is a theory or hypothesis. Not accurate, based only on the information available.
hypothesis
Inferential Statistics
inferential statistics
If at least one of the variables has been measured on an ordinal or ratio scale then the pairs of values can be plotted and the resulting graph examined for a relationship.If neither variable has been measured on one of these kinds of scales then the pairs of values can be arrayed in a contingency table and it can be examined or tested for a relationship.
To come up with a hypothesis for a lab experiment, you need to make an educated guess or prediction about the relationship between two variables in the experiment. Review background research, identify the independent and dependent variables, and consider how changes in the independent variable might affect the dependent variable. Formulate a concise statement that captures this relationship and serves as the basis for your experiment.
A child should be educated so they can learn about the world and how to become more independent.
Going by IQ statistics, Guinea-Bissau and Ethiopia would have the least educated citizens because their average IQ is 63.
Slyly hint to him what he should be doing
Not really, but they can women are moving up in the world and becoming more independent and more educated.
A hypothesis is a statement that attempts to explain the relationship between observed factors based on educated guesses or predictions. It serves as a testable proposition that can be supported or refuted through experimentation or observation.
German women are as independent and well educated as their counterparts in other European countries. Let's get away from stereotyping.
Zimbabwe is one of the most educated countries in Southern Afrrica.According to statistics by the Sevaral international Researches the Country stands at 82.5%
There are no true statistics towards this so you must take an educated guess. California would most likely be the answer due to its sheer population.