If two variables, x and y, have a strong linear relationship, then: 1. there may or may not be any causal relationship between x and y 2. x causes y to happen 3. y causes x to happen 4. None of these answers is correct.

Correct option is (1).

Step-by-step explanation:

A linear relationship between two variable, an independent and dependent variable is represented by a straight line.

Any change in the independent variable leads to a change in the dependent variable.

The degree of association between two variable is measure by the correlation coefficient.

The correlation coefficient value ranges from -1.00 to 1.00.

A correlation value of 1.00 implies a strong positive relation between the variables and a correlation value of -1.00 implies a strong negative relation between the variables.

The correlation between two variables only tells us about the degree and direction of the relationship between two variables.

It does not implies causation, i.e. it does not tells whether the changes in the dependent variables are due to the independent variables or some other factor.

Thus, the correct option is (1).

none of the above.

for one of the equations to be used in the process, there has to be a term in the equation since squared is .

since there is only a term in the first equation, we cannot derive a from completing the square.

solving with completing the square

i’ll just s take the points thxs