A statistician studies the relationship between income and the choice of individuals to attend college. He notices that during a
particular time period, the average individual income doubled but fewer individuals attended college. He concludes that income is negatively related to college enrollments. The statistician has failed to account for the fact that tuition rates tripled over the same time period. Why is the reported conclusion misleading in this case?
The conclusion is is misleading because the extraneous variable, cost of tuition was not accounted for in the experiment.
<h3>What are the variables in this experiment?</h3>
The independent variable is the variable that the person carrying out an experiment changes or manipulates. This variable is income. The dependent variable is the variable that is being measured in an experiment. This variable is college enrolment.
The extraneous variable is the variable that is not been researched in the experiment but it has the potential to influence the results of the experiment. This variable is the cost of tuition.
The probability that a coin flip is a head or a tail is 0.5. The probability that a coin flip is either a head or a tail is 1. The probability that a three-coin-flip is two heads and a head or a tail is 0.25.
Step-by-step explanation: If x=0, then two points on the graph can be (0, 6) and (0,0). using those two points, you can say the slope is 6/0, which is undefined
