Suppose there is 1 dependent variable (dissolved oxygen, Y) and 3 independent variables (water temp X1, depth X2, and hardness of water X3). Below is the result of the multiple linear regression. Standard Coefficients Error 1 Stat value Intercept 24.84 4.36 5.69 0.00 Water Temperature (C) -1.17 0.37 -3.20 0.02 Depth (feet) -0.15 0.24 -0.61 0.56 Hardness as mg/L CaCo3 -0.04 0.04 -0.95 0.37Which of the following is the equation of the multiple regression model? O a. Y: 0.00 + 0.02X1 + 0.56X2 + 0.37X3 O b. Y = 4.36 + 0.37X1 + 0.24X2 + 0.04X3 O c. Y = 24.84 - 1.17X1 - 0.15X2 - 0.04X3 O d. Y = 5.69- 3.20X1 - 0.61X2 -0.95X3Which of the three independent variable(s) is (are) significant predictor(s) of dissolved oxygen? Use .05 level of significance. O a. water temperature only since its p-value is less than 0.05 level of significance O b. depth and hardness since their p-values are greater than 0.05 level of significance O c. intercept only since it has the greatest t statistic O d. water temperature and intercept since their p-values are less than 0.05 level of significanceWhich of the following statements is TRUE? O a. Hardness is also a significant predictor of the amount of dissolved oxygen since its coefficient -0.04 is less than 0.05. O b. The intercept has strong linear relationship with the amount of dissolved oxygen. O c. Both intercept and water temperature are the significant predictors of the amount of dissolved oxygen. O d. If all other predictor variables are held constant, the amount of dissolved oxygen decreases on the average by 0.15 for every 1 unit increase in depth