Also What test was used in this question, andwhywas this the right type of test to use, specifically?

You are interested in researching whether there is a relationship between the number of hours someone studies and their GPA, and whether the number of hours someone studies can predict their GPA. Here is your SPSS output: How many hours do you spend studying per week GPA usually? GPA Pearson Correlation 1 347 Sig. (2-tailed) 023 N 46 43 How many hours do you Pearson Correlation .347 1 spend studying per week usually? Sig. (2-tailed) 023 N 43 48 *. Correlation is significant at the 0.05 level (2-tailed). Model Summary Adjusted R Std. Error of the Model R R Square Square Estimate 1 347 . 120 099 41441 a. Predictors: (Constant), How many hours do you spend studying per week usually? ANOVA Sum of Model Squares df Mean Square F Sig. 1 Regression 963 1 963 5.609 023 Residual 7.041 41 172 Total 8.004 42 a. Dependent Variable: GPA b. Predictors: (Constant), How many hours do you spend studying per week usually? Coefficients Standardized Unstandardized Coefficients Coefficients Model B Std. Error Beta Sig. 1 (Constant) 3.096 096 32.155 000 How many hours do you 016 007 .347 2.368 023 spend studying per week usually? a. Dependent Variable: GPA Examine the SPSS output for this test and report all the findings here, including the numeric results, decision(s), and interpretation(s), according to how we write our conclusions