Q7. Analyze the following statistical results that was obtained by using SPSS software a. Cronbach Alpha [2 marks] Relia

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Q7. Analyze the following statistical results that was obtained by using SPSS software a. Cronbach Alpha [2 marks] Relia

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Q7 Analyze The Following Statistical Results That Was Obtained By Using Spss Software A Cronbach Alpha 2 Marks Relia 1
Q7 Analyze The Following Statistical Results That Was Obtained By Using Spss Software A Cronbach Alpha 2 Marks Relia 1 (191.31 KiB) Viewed 30 times
Q7. Analyze the following statistical results that was obtained by using SPSS software a. Cronbach Alpha [2 marks] Reliability Statistics N of Items 11 Item-Total Statistics Scale Variance if Cronbach's Alpha if Item Deleted Item Deleted 67.173 72.984 80.566 69.993 73.740 74.036 77.805 74.680 77.166 73.467 74.829 Cronbach's Alpha bss01 bss04 bss05 bss06 bss08 bss09 bss10 bss11 bss02r bss03r bss07r .741 Scale Mean if Item Deleted 42.7568 43.6892 41.8108 42.2973 43.2838 43.9324 43.0541 43.3919 42.7703 43.2297 42.4865 Corrected Item-Total Correlation .598 .434 .255 .514 .385 .411 .257 .362 .281 .371 .370 .690 .716 .737 .704 .723 .719 .739 .726 .736 .725 .725

b. Correlation (list two examples of correlation, specifying if it's a negative/positive, high/low correlation and why). [4 marks] ** Correlation is significant at the 0,01 level (2-tailed). Air Soil Humidity Humidity of air Factor Correlations temperature temperature of soil (°C) (°C) (%) (%) Air PearsonCorrelation 1 0.953** -0.713** -0.760" temperature Sig. (2-tailed) 0 0,009 0,004 (°C) N 12 12 12 12 Soil 1 -0.617° -0.793** PearsonCorrelation Sig. (2-tailed) temperature 0,033 0,002 (°C) N 12 12 12 Humidity 1 0.740" PearsonCorrelation Sig. (2-tailed) of air 0,006 (%) N 12 12 Humidity 0.740" 1 PearsonCorrelation Sig. (2-tailed) 0,006 of soil (%) N 12 0.953 0 12 -0.713" 0,009 12 -0.760 0,004 12 -0.617 0,033 12 -0.793** 0,002 12 . 12

c. One Way ANOVA and Simple Linear Regression. [4 marks] Model Summary Mode Adjusted R Square R .886ª R Square .785 Std. Error of the Estimate 4.525 1 .785 a. Predictors: (Constant), Age 11 standard marks b. Dependent Variable: Age 14 standard marks ANOVA Sum of Model Squares df 1 Regression 1059510.757 1 Residual 289412.550 14136 Total 1348923.307 14137 a. Predictors: (Constant), Age 11 standard marks b. Dependent Variable: Age 14 standard marks Coefficients Unstandardized Coefficients Model B Std. Error 1 (Constant) .261 .038 Age 11 standard marks. .873 .004 a. Dependent Variable: Age 14 standard marks Mean Square 1059510.757 20.473 Sig. 000² t Siq. 6.848 .000 .886 227.487 .000 F 51750.500 Standardized Coefficients Beta
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