Given the table that shows the data of the number of employees and the number of products, you can identify these points:
[tex](0,100),(50,1100),(100,2100),(150,3100),(200,4100),(250,5100),(300,6100),(350,7100),(400,8100)[/tex]Part A
Plot the points on a Coordinate Plane:
Notice that the relationship is approximately linear. Therefore, you can conclude that there is a perfectly positive correlation between the variables.
Part B
Notice that, in this case, the function that best fits the data must be a Linear Function. It can be written in Slope-Intercept Form:
[tex]y=mx+b[/tex]Where "m" is the slope and "b" is the y-intercept.
In this case, you can identify that the y-intercept is:
[tex]b=100[/tex]Because that is the value of "y" when:
[tex]x=0[/tex]In order to find the slope, substitute the coordinates of one of the points into the equation and solve for "m":
[tex]\begin{gathered} 1100=m(50)+100 \\ \\ \frac{1100-100}{50}=m \\ \\ m=20 \end{gathered}[/tex]Therefore, the function that best fits the data is:
[tex]y=20x+100[/tex]Part C
Notice that the x-values represent the number of employees and the y-values reprsent the number of products.
Therefore, the slope indicates each employee produces 20 products yearly.
And the y-Intercept indicates that 100 products are produced yearly even when there are no employees.
Hence, the answers are:
Part A: Yes, there is a perfectly positive correlation between the variables because their relation is approximately linear.
Part B:
[tex]y=20x+100[/tex]Part C:
- The slope indicates each employee produces 20 products yearly.
- The y-Intercept indicates that 100 products are produced yearly even when there are no employees.