This regression is on 1744 individuals and the relationship between their weekly earnings (EARN, in dollars) and their "

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This regression is on 1744 individuals and the relationshipbetween their weekly earnings (EARN, in dollars) andtheir "Age" (in years) during the year 2020. Theregression yields the following result:Estimated(EARN) = 239.16 +5.20(Age), R2 = 0.05, SER = 287.21(a) Interpret the intercept and slope coefficient results.(b) Why should age matter in the determination of earnings? Do theabove results suggest that there is a guarantee for earnings torise for everyone as they become older? Do you think that therelationship between age and earnings is linear? Explain. (assumingthat individuals in this case work 52 weeks in a year)(c) The average age in this sample is 37.5 years. What is theestimated annual earnings in the sample? (assuming that individualsin this case work 52 weeks in a year)
(d) Interpret goodness of fit.
[Statistical tables are attached hereto, if needed]Please give detailed answers for all parts. Will upvote