Studies suggest that class participation of students is vital in improving the overall performance of students in their subjects.To estimate this relationship the subject coordinator of BUS1BAN, using the data from prior semester, examines the effect of class participation marks (x) on the marks of other assessments.The following excel output resulted after running linear regression between variables x and y:?

Question 2 Studies suggest that class participation of students is vital in improving the overall performance of students in their subjects. To estimate this relationship Not yet the subject coordinator of BUS1BAN, using the data from prior semester, examines the effect of class participation marks (x) on the marks of other answered assessments & . The following excel output resulted after running linear regression between variables x and y: Marked out of 12.00 SUMMARY OUTPUT Flag Regression Statistics question Multiple R 0.6745 R Square 0.4549 Adjusted R Square 0.4541 Standard Error 15.6375 Observations 677 ANOVA of SS MS F Significance F Regression 1 137762 137762 563.37 0.00 Residual 675 165059 245 Total 676 302821 Coefficients Standard Error t Stat P-value Lower 95%% Upper 956 Intercept 20.4413 1.5826 12.9161 0.0000 17 3339 23 5488 Class Participation Marks 4.9978 0.2106 23.7355 0.0000 4 5843 5:4112 INSTRUCTIONS: You are required to answer the following questions by selecting the best option from the drop down window or by typing your answer in the box next to the question: (Marks 12) 1. The relationship between the variable x and y is 2. The values of the intercept and slope coefficients are 3. The least square line from the above output is 4. The value of the coefficient of determination is 5. Select appropriate interpretation for slope coefficient3. The least square line from the above output is 4. The value of the coefficient of determination is 5. Select appropriate interpretation for slope coefficient: 6. Calculate the coefficient of correlation and type your answer in this box (round it up to 4 decimal places): = In order to determine whether there is enough evidence to conclude that a linear relationship exist between the variable y and variable x we perform hypothesis testing at 5 percent significance level. Answer the following questions: 1. The null hypothesis is Ho : Bi 2. The alternative hypothesis is H1 : B1 3. As per excel output, the value of t-statistic for this test is 4. The decision rule is to reject Ho if 5. Given the observed value of the test statistic, we decide to