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a. Statement of the Problem: Does Technical Support (X8) predict Satisfaction (X19)? b. Conceptual Framework: Independent Variable X10 - Advertising Dependent Variable X19- Satisfaction c. Null Hypothesis: Advertising (X10) does not predict Satisfaction (X19).

a. Statement of the Problem: Does Technical Support (X8) predict Satisfaction (X19)? b. Conceptual Framework: Independent Variable X10 - Advertising Dependent Variable X19- Satisfaction c. Null Hypothesis: Advertising (X10) does not predict Satisfaction (X19).

Algebra & Trigonometry with Analytic Geometry
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter2: Equations And Inequalities
Section2.1: Equations
Problem 78E
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Predict Satisfaction

Interpret the result of regression . Explain step by step

a. Statement of the Problem: Does Technical Support (X8) predict Satisfaction (X19)? b. Conceptual Framework: Independent Variable X10 - Advertising c. Null Hypothesis: Advertising (X10) does not predict Satisfaction (X19). d. Process: Variables Entered/Removed Model Variables Entered Variables Removed Method 1 X10 - Advertising Enter a. All requested variables entered. b. Dependent Variable: X19 - Satisfaction Model R R Square .305⁰ 1 093 a. Predictors: (Constant), X10 - Advertising ANOVA Model 1 Regression Residual Model Model Summary Adjusted R Square .084 Sum of Squares 1 (Constant) Total a. Predictors: (Constant), X10 - Advertising b. Dependent Variable: X19 - Satisfaction Coefficients 13.054 1 127.574 98 140.628 99 Dependent Variable X19 - Satisfaction df Mean Square F Sig. 13.054 10.027 .002¹ 1.302 Unstandardized Coefficients Std. Error .424 .102 B 5.626 X10 - Advertising 322 a. Dependent Variable: X19 - Satisfaction Std. Error of the Estimate 1.1410 Standardized Coefficients Beta t Sig. 13.279 .000 .305 3.167 .002
Transcribed Image Text:a. Statement of the Problem: Does Technical Support (X8) predict Satisfaction (X19)? b. Conceptual Framework: Independent Variable X10 - Advertising c. Null Hypothesis: Advertising (X10) does not predict Satisfaction (X19). d. Process: Variables Entered/Removed Model Variables Entered Variables Removed Method 1 X10 - Advertising Enter a. All requested variables entered. b. Dependent Variable: X19 - Satisfaction Model R R Square .305⁰ 1 093 a. Predictors: (Constant), X10 - Advertising ANOVA Model 1 Regression Residual Model Model Summary Adjusted R Square .084 Sum of Squares 1 (Constant) Total a. Predictors: (Constant), X10 - Advertising b. Dependent Variable: X19 - Satisfaction Coefficients 13.054 1 127.574 98 140.628 99 Dependent Variable X19 - Satisfaction df Mean Square F Sig. 13.054 10.027 .002¹ 1.302 Unstandardized Coefficients Std. Error .424 .102 B 5.626 X10 - Advertising 322 a. Dependent Variable: X19 - Satisfaction Std. Error of the Estimate 1.1410 Standardized Coefficients Beta t Sig. 13.279 .000 .305 3.167 .002
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