Aprofessor wanted to find a linear model that relates the number of hours a student plays video games each week, h, to the cumulative grade point average g of the hours of video games student. he obtained a random sample of 10 full-time students at his college and asked each student to disclose the number of hours spent playing video games and per week, h the student's cumulative grade-point average. complete parts (a) through (1) below. grade point average, g 3.69 285 3.54 262 2.99 1. explain why the number of hours spent playing video games is the independent variable and cumulative grade-point average is the dependent variable. choose the correct answer below. a. the number of hours is being used to predict cumulative grade-point average .b. cumulative grade-point average is being used to predict the number of hours. c. the number of hours and the cumulative grade-point average are unrelated. d. the number of hours is directly related to the cumulative grade-point average.

question seems incomplete but with the limited information one can deduce that the professor was trying to investigate how students CGPA is affected by the length of period spent on video games.  

A

Step-by-step exp

independent variables are constants. they do not change or depend on any other variable.

dependent variables, they do depend on other variables, we call them resulting variables..

answer:

given the linear inequality :

add 2y to both sides we get;

simplify:

add 12 to both sides of an equation;

simplify:

divide both sides by 2 we get;

or

the related equation for the inequality equation [1] is;

y-intercepts defined as the graph crosses the y-axis.

substitute x =0 in [2] to solve for y;

y = 6

x-intercepts defined as the graph crosses the x-axis.

substitute value y = 0 to solve for x;

subtract 6 from both sides we get

multiply both sides by 2 we get;

or

x = -12

now, plot these point (0, 6) and (-12, 0) on graph as shown below and shade the graph below the solid line.