We know that college GPA is positively correlated with salary after college. If we use knowledge of a student's GPA to predict his or her salary, the criterion variable is and the predictor variable is .

Step-by-step explanation:

Given that college GPA is positively correlated with salary after college

This means there is a positive linear relationship between GPA and salary after college.

Or we can write one as dependent and another as independent.

Since in the given question Salary is to be found out for given GPA we can make GPA as independent variable and Salary after college dependent variable

We will find a linear relationship as

Salary = slope * GPA + intercept

So

If we use knowledge of a student's GPA to predict his or her salary, the criterion variable is __GPA and the predictor variable is __Salary after college..

step-by-step explanation:

ok so im not 100% sure but you would start by adding 5.1t and 1.9t beacuse they have the same variable. that is 7t.   then add -3.6 + 1.2 which is -2.4

so then keep that as -2.4 + 7t. i apologize if this is incorrect. best luck on your test < 3

step-by-step explanation:

to find if any function is an inverse of the other, put the first equation in as x in the next one. then simplify and solve. if at the end you get the statement y = x, then it is an inverse. if you get anything else, it is not.