2. Suppose that you have several hypotheses to test, as follow:

H1: Service quality has a significant positive relationship with customer satisfaction.

H2: Perceived risk has a significant negative relationship with customer satisfaction.

H3: Brand trust has a significant positive relationship with customer satisfaction.

H4: Product variety has a significant positive relationship with customer satisfaction.

H5: Store atmosphere has a significant positive relationship with customer satisfaction. After you analyze the data using linear regression analysis, the result showed as follow:

Model Summary Adjusted R Std. Error of R Square Square the Estimate ANOVA' Sum of Squares Mean Square Regression 8?. 200 14 533 21 52? Residual 130.300 Total 211500 Coefficients* Unstandardized Standardized Coefficients Coefficients Model B Std. Error Beta Sig. 1 [Constant) 1.847 .659 2.805 006 Service Quality .130 .146 .113 893 .373 Perceived Risk -.301 077 -.390 -3.896 .070 Brand Trust -.240 .112 -.337 -4.355 003 Product Variety .211 083 .129 3.330 .006 Store Atmosphere .225 .089 .260 2.513 .013