Question

( Need Help ASAP). Can someone please help me ASAP). This is due ASAP Need Help Please). At a certain company, the human resources department surveyed employee satisfaction. They collected the following data. ( Question 1) How would you characterize the relationship between salary and employee satisfaction scores? EXPLAIN. ( Question 2) Hilda uses the function y = 0.0005x + 60 to model the situation. What score does the model predict for a salary of $65,000? (Question 3) What does the number 0.0005 in Part (b) mean in the context of the situation? Will Mark Brainliest. (Please don't rewrite someone else's answer down by looking my question up on brainly). ​

Answer 1

Answer:

Question 1: There seems a linear relation between salary and satisfaction (they are increasing together). Then you can use the model y = ax + b to represent that relation. (There is a best-fit technique named regression which could help you find the best-fit line)

Question 2:

Simply substitute x = 65000 into y. Then y = 0.0005*65000 + 60 = 92.5

Question 3:

a = 0.0005 is considered the main coefficient that reflected the modeled relation.

b = 60 is considered the constant (or bias).

Answer 2

Answer:

= (70000) - (508)

= 7000 - 508

= 6492