It would increase by the same number.
The relationship between the variables may not be linear.
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.
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.
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.
because it is a methodical answer and that is why i am asking you
True , it would have been false only if it was mentioned no relationship . But as it mentions linear it is true.
This would indicate that there is a linear relationship between manipulating and responding variables.
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
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.
The answer depends on what you mean by "A".
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'?