An insurance company is interested in determining whether there was a relationship between Y = amount insured (in thousands of dollars) and three variables that they believe inuenced the amount of insurance that the individual purchased. These variables are: X1 = age of the person who is being insured. X2 = The income of me person who is being insured X3 = 1 if the person was healthy in terms of build and blood pressure = 0 othenNise. To study this further, they took a sample of 64 policies and obtained the following results: 1. F Test was statistically signicant 2. T tests for variables X2 and X3 were statistically Signicant. 3. The age variable (X1) gave the following results: bl = 5000 , SE(b1) = 4500 You wish to test the hypothesis H0: [31 = 0 against H1: 31 1 0 From these results which is the correct conclusion? The p value is 1.24%. The test is statistically signicant and Age should be included in the regression equation. The pvalue is 1.24%. The test is not statistically significant and Age should not be included in the regression equation. The p-value is 26.7%. The test is statistically signicant and Age should be included in the regression equation. The pvalue is 26.7%. The test is not statistically signicant and Age should not be included in the regression equation. The p-value is 0.62%. The test is statistically signicant and Age should be included in the regression equation