Write out again the equation for the Multiple Regression Model 1 using the coefficients from your regression results and explain in detail what each of the coefficients indicates (Put only two digits to the right of the decimal point). In your explanations consider the units of measurement used in the variables.

Multiple regression model 1: Charges= -13029.9 + 256.85*Age + 339.19*BMI + 475.50*Children + 131.31*Female + 23848.53*Smoke + 960.05*Northeast + 607.08*Northwest - 74.97*Southeast . reg Charges Age BMI Children Female Smoke Northeast Northwest Southeast Source SS df MS Number of obs 1, 338 F (8, 1329) 500 . 81 Model 1 . 4723e+11 8 1. 8404e+10 Prob > F 0 . 0000 Residual 4. 8840e+10 1, 329 36749084.4 R-squared II 0 . 7509 Adj R-squared II 0. 7494 Total 1. 9607e+11 1, 337 146652372 Root MSE 6062. 1 Charges Coef. Std. Err. t P>| t| [95% Conf. Interval] Age 256 . 8564 11 . 89885 21.59 0 . 000 233 . 5138 280 . 1989 BMI 339 . 1935 28. 59947 11 . 86 0 . 000 283 . 0884 395 . 2985 Children 475 . 5005 137 . 8041 3 . 45 0. 001 205. 1633 745 . 8378 Female 131 . 3144 332 . 9454 0.39 0 . 693 -521. 8415 784. 4703 Smoke 23848.53 413 . 1534 57. 72 0. 000 23038.03 24659 . 04 Northeast 960 . 051 477 .933 2. 01 0 . 045 22 . 46565 1897 . 636 Northwest 607 . 0871 477 . 2039 1. 27 0. 204 -329 . 0679 1543 . 242 Southeast -74. 97102 470 . 6386 -0. 16 0. 873 -998. 2467 848 . 3046 _cons -13029.9 1032 . 967 -12 . 61 0.000 -15056.33 -11003. 48