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Consider the Binary Dummy Variable Gender which takes the values M and F. In a Linear Regression with the dependent variable Income in dollars, Gender

Consider the Binary Dummy Variable Gender which takes the values "M" and "F". In a Linear Regression with the dependent variable Income in dollars, Gender is interacted with Years of Work Experience. Suppose the excluded category for Gender is "F". If the coefficient on Gender is 13,470, the coefficient on Years of Work Experience is 5,483, and the coefficient on the Interaction Term, Years of Work Experience*Gender is 1,026, what is the relationship between Years of Work Experience and Income for a person whose Gender is category "M"?

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One more Year of Work Experience increases Income by $18,953

One more Year of Work Experience increases Income by $13,470

One more Year of Work Experience increases Income by $6,509

One more Year of Work Experience increases Income by $5,483

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