Question

# Can the likelihood to choose HP again (q6) be explained by respondents’ perceptions of HP’s quick...

Can the likelihood to choose HP again (q6) be explained by respondents’ perceptions of HP’s quick delivery (q8_3)?

Run a simple linear regression in SPSS and paste the output (4 tables below):

 Variables Entered/Removeda Model Variables Entered Variables Removed Method 1 q8_3b . Enter a. Dependent Variable: q6 b. All requested variables entered.
 Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .303a .092 .089 .54315 a. Predictors: (Constant), q8_3
 ANOVAa Model Sum of Squares df Mean Square F Sig. 1 Regression 10.425 1 10.425 35.336 .000b Residual 103.254 350 .295 Total 113.679 351 a. Dependent Variable: q6 b. Predictors: (Constant), q8_3
 Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) 2.030 .112 18.193 .000 q8_3 -.093 .016 -.303 -5.944 .000 a. Dependent Variable: q6

Is the regression significant? Examine the ANOVA table: F =           ; p-value =

What is the Adjusted R­­­­2 =

Interpret the Adjusted R­­­­2:

What is the coefficient for HP quick delivery (q8_3) =          ; p-value =

Write the equation for the linear regression. Y = a + bX. Replace Y with the dependent variable, X with the predictor variable, a with the intercept (or constant in SPSS), and b with the coefficient for HP quick delivery:

Interpret the relationship between the independent/predictor variable and the dependent/outcome variable.

Is the regression significant? Examine the ANOVA table:

F = 35.336      ; p-value = 0.000

What is the Adjusted R^2 = 0.089

It means 8.9% of variation in y is explained by x aftrer adjusting for number of independent variables

What is the coefficient for HP quick delivery (q8_3) = -0.093         ; p-value = 0.00

Write the equation for the linear regression. Y = a + bX. Replace Y with the dependent variable, X with the predictor variable, a with the intercept (or constant in SPSS), and b with the coefficient for HP quick delivery:

y^ = 2.030 - 0.093 HP Quick delivery

Interpret the relationship between the independent/predictor variable and the dependent/outcome variable.

there is negative relationship between variables
the relation is significant as p-value < alpha

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