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If you have the following results of the estimated regression model, Where Y: Median salary X: years of experience Variable Coefficient Std. Error t-Statistic Prob. C 73586.80 3944.584 18.65515 0.0000 X 949.5621 217.9417 4.356954 0.0008 And for a certain reason, the researcher has estimated the following regression model. Where the dependent variable is Y/X Variable Coefficient Std. Error t-Statistic Prob. C 1403.809 154.6360 9.078151 0.0000 1/X 68292.06 289.4419 235.9439 0.0000 1- What is the problem which makes the researcher to transform from the first model to the second one? What are the main sources of this problem? 2- According to the first model, the years of experience have a significant effect on the median salary or not? 3- What is the main assumption which makes the researcher to transform from the first model to the second one? Interpret the estimated parameters of the second model. 4- What are the main consequences of this problem? 5- What are the main formal methods to detect this problem? Choose one of them and write its steps in details