2. Correlation testing The researches want to test the relationship between academic performance of students, short range planning, time attitude, long range planning and efficiency &effectiveness. To...

2. Correlation testing

The researches want to test the relationship between academic performance of students, short range planning, time attitude, long range planning and efficiency &effectiveness. To achieve the objective of the study the researchers have gathered data from 180 students and the result of correlation output generated by SPSS found in the following table.

Assignment -2 Submission date: 1.The Chi-square test for independence A public opinion poll surveyed a simple random sample of 1000 voters. Respondents were classified by gender (male or female) and by voting preference (Republican, Democrat, or Independent). Results are shown in the contingency table below. Voting Preferences Row total Republican Democrat Independent Male 200 150 50 400 Female 250 300 50 600 Column total 450 450 100 1000 Requirement i. Develop hypothesis ii. Make decision and Conclude your result based on the following questions: · Is there a gender gap? · Do the men's voting preferences differ significantly from the women's preferences? · Use a 0.05 level of significance. 2. Correlation testing The researches want to test the relationship between academic performance of students, short range planning, time attitude, long range planning and efficiency &effectiveness. To achieve the objective of the study the researchers have gathered data from 180 students and the result of correlation output generated by SPSS found in the following table. Table correlation analysis results Academic Performance Short range planning Time attitude Long range planning Efficiency &effectiveness Academic Performance Pearson Correlation 1 .370** .422** .652** .541** Sig. (2-Tailed) .000 .000 .000 .000 N 180Comment by chal: 180 180 180 180 Short Range Planning Pearson Correlation .370** 1 .415** .351** .038 Sig. (2-Tailed) .000 .000 .000 .616 N 180 180 180 180 180 Time Attitude Pearson Correlation .422** .415** 1 .485** .060 Sig. (2-Tailed) .000 .000 .000 .421 N 180 180 180 180 180 Long Range Planning Pearson Correlation .652** .351** .485** 1 .290** Sig. (2-Tailed) .000 .000 .000 .000 N 180 180 180 180 180 Efficiency &Effectiveness’ Pearson Correlation .541** .038 .060 .290** 1 Sig. (2-Tailed) .000 .616 .421 .000 N 180 180 180 180 180 ** Correlation is significant at the 0.01 level (2 tailed). ** Correlation is significant at the 0.05 level (2 tailed). The table above presents the result of the correlation analysis. Requirements: i. Develop four hypotheses that show the relationship of two variables depending on the result in the table above. ii. Interpret the relationship of all variables based on above results. 3. Multi regression analysis The researches want to test the effects of short range planning, time attitude, long range planning and efficiency&effectiveness of students on theiracademic performance. To achieve the objective of the study the researchers have gathered data from 180 students and the result of regression output generated by SPSS found in the following table. Multiple regression Coefficients results Model Unstandardized Coefficients Standardized Coefficients T Sig. B Std. Error Beta 1 (Constant) -.092 .201 -.458 .648 Short Range Planning .142 .049 .155 2.902 .004 Time Attitude .106 .046 .132 2.302 .023 Long Range Planning .447 .062 .416 7.164 .000 Efficiency &Effectiveness’ .253 .031 .407 8.151 .000 A. Dependent Variable: Academic Performance.Comment by chal: DEVELOP MODEL EQUATIONS Requirements: I. Develop hypotheses that show effects of independent variableson dependent variable based on the result in the table above. II. Make decision and Conclude your result based on the following questions: 2