Consider the following data: 410 -5 410-5 x4 x5 plot of chunk unnamed-chunk-1 e Suppose we fit two models to the data. The first model includes all six predictors, while the second model includes only x1 and x5. Which of the following statements is most likely true? Select one or more: C) a. b. a Oooo 00 0 00 0 The R-squared value for the first model is higher than the R-squared value for the second model. The R-squared value for the first model is lower than the R-squared value for the second model. The R-squared value for the first model is equal to the R-squared value for the second model. The adjusted R-squared value for the first model is higher than the adjusted R-squared value for the second model. The adjusted R-squared value for the first model is lower than the adjusted R-squared value for the second model. The adjusted R-squared value for the first model is equal to the adjusted R-squared value for the second model. and Bs have about the same estimated values in both model 1 and model 2. B and Bs have greater estimated values in model 1 than they do in model 2. Bs and 6, have greater estimated values in model 1 than they do in model 2. Model 1 and model 2 both fit the data significantly better than a model that includes only a mean term. Only model 1 fits the data significantly better than a model that includes only a mean term. Only model 2 fits the data significantly better than a model that includes only a mean term