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Q: How would you find a linear relationship from a verbal explanation?
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What is the definition of a linear relationship?

It would increase by the same number.


Why would a linear trend equation based forecast be dangerous?

The relationship between the variables may not be linear.


What does a line of best fit tell you about data on scatterplot?

It tells you that if there were a linear relationship between the two variables, what that relationship would look like and also how much the observations differed from that linear fit.


What conclusions can you draw if the line of best fitting on a linear graph does not slope either up or down but is horizontal?

The conclusion would be that there is no evidence of a linear relationship between the variables. There could well be a non-linear (eg quadratic) relationship.


What is the shape of a graph of a linear relationship?

A straight line. y=ax + b is called a linear relationship. y=ax2 + bx +c is called quadratic because the HIGHEST power of x is 2. A term with x3 would make it a cubic relationship, x4 would make it quartic and so on.


How would you decide from a graph that the relationship was neither linear nor inverse?

because it is a methodical answer and that is why i am asking you


A zero population correlation coefficient between a pair of random variables means that there is no linear relationship between the random variables True or false?

True , it would have been false only if it was mentioned no relationship . But as it mentions linear it is true.


If doubling the manipulating variable results in a doubling of the responding variable the relationship between the variables is a?

This would indicate that there is a linear relationship between manipulating and responding variables.


Difference between verbal and nonverbal forms of communication?

one is spoken - verbal and the other is non spoken - non verbal, so a phonecall would be verbal communication and a letter would be non verbal communication


When would you use simple linear regression?

You use it when the relationship between the two variables of interest is linear. That is, if a constant change in one variable is expected to be accompanied by a constant [possibly different from the first variable] change in the other variable. Note that I used the phrase "accompanied by" rather than "caused by" or "results in". There is no need for a causal relationship between the variables. A simple linear regression may also be used after the original data have been transformed in such a way that the relationship between the transformed variables is linear.


What on a graph indicates that there is a linear relationship between the dependent variable and the independent variable?

The answer depends on what you mean by "A".


How would you respond to someones instruction in spanish?

The question is too ambiguous to answer. Which 'someone'? What is 'your' relationship to that person? What kind of instruction? Do you mean a psychological and/or verbal and/or physical 'response'?