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1. 2,459 individuals responded to a survey that asked for information on height and labor earnings. These individuals reported their height, in inches, and labor earnings, in dollars. A simple linear regression model was estimated to evaluate the effect of height on earnings. The regression equation is presented below and the ANOVA and regression results follow. carnings = by | b, Height Fe Source | df MS Number of obs 2,459 F (1, 2457) 3.77 Model | 2.1203e+09 Prob > F 0. 0524 Residual | 1. 3836e+12 563143594 R-squared 0.0015 Adj R-squared 0.0011 Total | 1.385Be+12 2, 458 563777095 Root MSE earnings Coefficient Std. err P>ItI [95% conf. interval] height 235. 6032 121 . 4209 0. 052 Icons 22514. 96 8182.928 X 0. 006 6468. 815 38561 .11 answer the following questions: freedom for the Model and Residual statistics for height and the constant term interval for height height statistically different from at the 10's level? Justify your answer IT an individual is of inches tall. what is their predicted earnings. Extra Credit Ify What is the value of the root MSE