Q4.

Produce a residual plot of the analysis in Q3.Report on your visual assessment of the presence of outliers (i.e., influential cases) and the criteria you have used in this visual assessment

Below is question 3 already calculated which you need.

This is an EXCEL LINK of the data used:

https://docs.google.com/spreadsheets/d/1a6FiZmx2WWqDSqRV3E5SLORHRMi3fr3vHQTJwg2yrds/edit?usp=sharing

Q3. For hypothesis testing on ERIratio predicting lower sigA the following steps were followed; Hypothesis; Ho : MERIratio = UsigA H1 : MERIratio Msign Then we use the alpha level of 0.05 on predicting the response variable i.e. alpha level = 0.05 The computed F-statistic using SPSS is; The F-statistic = 1.108 with p-value of 0.439. Since the p-value is greater than 0.05, then it implies that we fail to reject the null hypothesis hence implying that the predicted value is the same. The effect size for the test presented with Eta Squared = 0.801. Q3. For hypothesis testing on ERIratio predicting lower sigA the following steps were followed; Hypothesis; Ho : HERIratio = MsigA H1 : MERIratio MsigA Then we use the alpha level of 0.05 on predicting the response variable i.e. alpha level = 0.05 The computed F-statistic using SPSS is as shown in the picture attached below; ANOVA Table Sum of Squares Mean Square Sig sigA * ERiratio Between Groups (Combined) 2302.955 51 45.156 1.108 439 Within Groups 570.636 14 40.760 Total 2873.591 65 Measures of Association Eta Eta Squared sigA * ERIratio 895 801 The F-statistic = 1.108 with p-value of 0.439. Since the p-value is greater than 0.05, then it implies that we fail to reject the null hypothesis hence implying that the predicted value is the same. The effect size for the test presented with Eta Squared = 0.801