Please answer parts A, B, and C for this question. I sent possible options for part A, but B and C will have similar options. Thank you so much for your help.

Suppose X1 is a numerical variable and X2 is a dummy variable with two categories and the regression equation for sample of n=26 is Y^1=4+6X13X21 a. Interpret the regression coefficient associated with variable X1 b. Interpret the regression coefficient associated with variable X2. of significance, is there evidence that variable X2 makes a significant contribution to the model? a. Interpret the regression coefficient associated with variable X1 Holding constant the effect of for each increase of one unit in the predicted mean value of Y by a positive change of unit(s) Suppose X1 is a numerical variable and X2 is a dummy variable with two categories an sample of n=26 is Y^i=4+6X1i3X2i. a. Interpret the regression coefficient associated with variable X1. b. Interpret the regression coefficient associated with variable X2. c. Suppose that the tSTAT test statistic for testing the contribution of variable X2 is -0 . of significance, is there evidence that variable X2 makes a significant contribution to a. Interpret the regression coefficient associated with variable X1. Holding constant the effect of for each increase of one unit in the predicted by a positive cha Suppose X1 is a numerical variable and X2 is a dummy variable with two categories and the regression equatic sample of n=26 is Y^i=4+6X1i3X2i. a. Interpret the regression coefficient associated with variable X1. b. Interpret the regression coefficient associated with variable X2. c. Suppose that the tSTAT test statistic for testing the contribution of variable X2 is -0.69 . At the 0.10 level of significance, is there evidence that variable X2 makes a significant contribution to the model? a. Interpret the regression coefficient associated with variable X1. Holding constant the effect of for each increase of one unit in by a positive change of unit(s). Suppose X1 is a numerical variable and X2 is a dummy variable with two categories and the regressi sample of n=26 is Y^i=4+6X1i3X2i a. Interpret the regression coefficient associated with variable X1. b. Interpret the regression coefficient associated with variable X2. c. Suppose that the tSTAT test statistic for testing the contribution of variable X2 is -0.69 . At the 0.1 of significance, is there evidence that variable X2 makes a significant contribution to the model? a. Interpret the regression coefficient associated with variable X1. Holding constant the effect of for each increase of one unit in the predicted mean valu by a positive change of unit(s)