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).

whole numbers.

step-by-step explanation:

we are given the average monthly rainfall (in millimeters) model r(m) for the years 1900-2009 as a function of the month number m.

as we can see m is taken for the number of months for years 1900-2009.

we know that number of months can't be a negative number or decimal number or a fraction.

so, the number of months could be only positive whole numbers.

therefore, whole numbers is more appropriate for the domain of r.