Based on the tables and graphs below, interpret and report the results. You need to identify the test, discuss the assumption of normality only, follow the decision map steps for interpretation, and then report the results in an academic style.

Variables Entered/Removeda Variables Variables Model Summary" Model Entered Removed Method Adjusted R Std. Error of Distance in Enter Model R R Square Square the Estimate kms from 1 764a 584 549 2012.59592 nearest competitor a. Predictors: (Constant), Distance in kms from nearest a. Dependent Variable: Value of monthly sales competitor in $k in 2007 b. Dependent Variable: Value of monthly sales in $k in 2007 b. All requested variables entered. ANOVA Sum of Model Squares df Mean Square F Sig. Regression 68133866.85 1 68133866.85 16.821 001 Residual 48606508.07 12 4050542.340 Total 116740374.9 13 a. Dependent Variable: Value of monthly sales in $k in 2007 b. Predictors: (Constant), Distance in kms from nearest competitor Coefficients Standardized Unstandardized Coefficients Coefficients Model B Std. Error Beta Sig (Constant) 1577.544 1167.401 1.351 202 Distance in kms from 922.347 224.890 764 4.101 001 nearest competitor a. Dependent Variable: Value of monthly sales in $k in 2007Histogram Dependent Variable: Value of monthly sales in $k in 2007 Mean = -2.15E-16 4 Std. Dev. = 0.961 N = 14 3 Frequency 2 -2 -1 0 2 Regression Standardized Residual