1. A site manager of a company believes the number of profit made by each project depends on the number of miles to closest competition, office space in thousands of square feet in the surrounding community, college and university enrollment (in RM) in nearby university and/or college, median household income (in RM) in surrounding community and distance (in miles) to the downtown care. Data are randomly collected from 100 samples of the projects.
Based on the appropriate output
, a) state the null and alternative hypothesis.
b) list the dependent variable(s)
c) interpret the R2 value.
d) what conclusion can a site manager make from the findings?
e) what is the dominant predictor?
Output 4 Model Summary Model R R Square Adjusted R Std. Error of the Square Estimate 1 820" 0.6724 .6670 .81976 a. Predictors: (Constant), TS ANOVA df Mean Square F Sig 115.6913 .000 Model Sum of Squares Regression 38.074 1 Residual 75.702 Total 113.777 a. Dependent Variable: PI b. Predictors: (Constant), TS 1 230 231 38.074 3291 Model t Sig. Coefficients Unstandardized Coefficients B Std. Error 1.210 351 207 068 Standardized Coefficients Beta 2.907 3.913 (Constant) 1 TS a. Dependent Variable: PI 007 .001 820 Output 5 Paired Samples Statistics Mean N Std. Deviation 3.7794 100 .69971 3.5877 100 .85180 Std. Error Mean . 12000 B Rural Urban Pair 1 df Sig. (2- tailed) Paired Samples Test Paired Differences Mean Std. Std. 95% Difference Deviation Error Confidence Mean Interval of the Difference Lower Upper Pair 1 A 1.258 Rural - Urban 16968 .161 371 D 261 caue IELIS Scoring Calcul... Home o Watch That's So Ra... Change phone num. Output 6 ANOVA Sum of Squares df Sig Mean Square B D 0.0405 Between Groups Within Groups Total 161871.0 165612.3 2 362 364 Output 7 Group Statistics N Mean Std. Deviation Std. Error Mean Residential Location Rural Urban 34 66 3.7794 3.5877 69971 85180 Quality of life . 12000 B Indonondant Samnles Test Quality of life Rural Urban 34 66 3.7794 3.5877 .69971 .85180 .12000 B Independent Samples Test t-test for Equality of Means Levene's Test for Equality of Variances F Sig t df Sig. (2 Mean Std. Error tailed) Difference Difference .261 .16968 674 .414 D Quality of life Equal variances assumed Equal variances not assumed 1.203 79.188 232 1.15935 Output 8 PPB3063 Business Statistics 8 Correlations TS PI TS Pearson 820 Correlation Sig (2-tailed) 000 N 231 231 P Pearson 820 1 Correlation Sig 2-tailed 000 N 231 231 ** Correlation is significant at the 0.01 level (2- tailed APPENDIX 2 (Constant), TS ANOVA df Mean Square F Sig. 115.6913 Model Sum of Squares Regression 38.074 Residual 75.702 Total 113.777 a. Dependent Variable: PI b. Predictors: (Constant), TS .000 38.074 .3291 1 1 230 231 Model t Sig. Coefficients Unstandardized Coefficients B Std. Error 1.210 351 207 .068 Standardized Coefficients Beta 007 1 (Constant) TS a. Dependent Variable: PI 2.907 3.913 820 .001 abbels vested in stocks across three age categories? [4 marks] 3. The Covid-19 pandemic is driving the customers toward online shopping. Due to this situation, a researcher interested to investigate the correlation between Trust (TS) and Purchase Intentions (Pl) among customers in online shopping. A total of 231 customers were involved in the survey. The data gathered were analyzed using SPSS software, Based on appropriate SPSS output, a) sketch a scatter plot to illustrate the correlation between TS and PL. [3 marks] b) state the null and alternate hypothesis to test the correlation between TS and PI. [2 marks] C) using the 0.01 level of significance, what conclusion can you made on the correlation between TS and PI [4 marks] d) state one (1) advantage of correlation analysis [1 mark] Output 4 Model Summary Model R R Square Adjusted R Std. Error of the Square Estimate 1 820" 0.6724 .6670 .81976 a. Predictors: (Constant), TS ANOVA df Mean Square F Sig 115.6913 .000 Model Sum of Squares Regression 38.074 1 Residual 75.702 Total 113.777 a. Dependent Variable: PI b. Predictors: (Constant), TS 1 230 231 38.074 3291 Model t Sig. Coefficients Unstandardized Coefficients B Std. Error 1.210 351 207 068 Standardized Coefficients Beta 2.907 3.913 (Constant) 1 TS a. Dependent Variable: PI 007 .001 820 Output 5 Paired Samples Statistics Mean N Std. Deviation 3.7794 100 .69971 3.5877 100 .85180 Std. Error Mean . 12000 B Rural Urban Pair 1 df Sig. (2- tailed) Paired Samples Test Paired Differences Mean Std. Std. 95% Difference Deviation Error Confidence Mean Interval of the Difference Lower Upper Pair 1 A 1.258 Rural - Urban 16968 .161 371 D 261 caue IELIS Scoring Calcul... Home o Watch That's So Ra... Change phone num. Output 6 ANOVA Sum of Squares df Sig Mean Square B D 0.0405 Between Groups Within Groups Total 161871.0 165612.3 2 362 364 Output 7 Group Statistics N Mean Std. Deviation Std. Error Mean Residential Location Rural Urban 34 66 3.7794 3.5877 69971 85180 Quality of life . 12000 B Indonondant Samnles Test Quality of life Rural Urban 34 66 3.7794 3.5877 .69971 .85180 .12000 B Independent Samples Test t-test for Equality of Means Levene's Test for Equality of Variances F Sig t df Sig. (2 Mean Std. Error tailed) Difference Difference .261 .16968 674 .414 D Quality of life Equal variances assumed Equal variances not assumed 1.203 79.188 232 1.15935 Output 8 PPB3063 Business Statistics 8 Correlations TS PI TS Pearson 820 Correlation Sig (2-tailed) 000 N 231 231 P Pearson 820 1 Correlation Sig 2-tailed 000 N 231 231 ** Correlation is significant at the 0.01 level (2- tailed APPENDIX 2 (Constant), TS ANOVA df Mean Square F Sig. 115.6913 Model Sum of Squares Regression 38.074 Residual 75.702 Total 113.777 a. Dependent Variable: PI b. Predictors: (Constant), TS .000 38.074 .3291 1 1 230 231 Model t Sig. Coefficients Unstandardized Coefficients B Std. Error 1.210 351 207 .068 Standardized Coefficients Beta 007 1 (Constant) TS a. Dependent Variable: PI 2.907 3.913 820 .001 abbels vested in stocks across three age categories? [4 marks] 3. The Covid-19 pandemic is driving the customers toward online shopping. Due to this situation, a researcher interested to investigate the correlation between Trust (TS) and Purchase Intentions (Pl) among customers in online shopping. A total of 231 customers were involved in the survey. The data gathered were analyzed using SPSS software, Based on appropriate SPSS output, a) sketch a scatter plot to illustrate the correlation between TS and PL. [3 marks] b) state the null and alternate hypothesis to test the correlation between TS and PI. [2 marks] C) using the 0.01 level of significance, what conclusion can you made on the correlation between TS and PI [4 marks] d) state one (1) advantage of correlation analysis [1 mark]
