need assistance with the following:

Scenario: I collected intelligence test data from 200 individuals. Each was given 6 separate tests: Inference, Computation, Vocabulary, Reasoning, Writing and Grammar. I was interested in determining which test(s) best predicted the Inference score. The results of my initial run with all possible predictors is presented below. Please answer the questions that follow: Model Summary Adjusted R Std. Error of the Model R R Square Square Estimate 850 723 .716 894 a. Predictors: (Constant), Grammar, Computation, Reasoning, Vocabulary, Writing Coefficientsa Standardized Unstandardized Coefficients Coefficients Model B Std. Error Beta Sig. (Constant) .597 265 2.255 025 Computation 764 042 815 18.153 000 Vocabulary -.093 059 -.094 -1.595 112 Reasoning 064 039 074 1.633 104 Writing 060 059 071 1.017 310 Grammar -.046 057 -.051 -.816 416 a. Dependent Variable: Inference 30. What is the r squared value?31. Recall from class and our multiple regression discussions, best practice is to put all possible predictors into the equation using the enter method. Then, after that initial run, we look at the significance valuesfcolumn and look for values less than or equal to .10 {for the initial screening] as the variables we would want to keep and then rerun and evaluate using our standard .D5 criteria. 5o, based on this, which of the predictors above will survive that initial .10 cut? That is, which predictors would you keep in the equation