QUESTION 3 Study the information provided below and answer all questions that follow. As an organisational researcher, you suspect that operations management competence may be a significant predictor of the performance of manufacturing firms. After an extensive review of the extant literature, you have noted that the interplay of operations management competence and organisational performance has received little attention by researchers. In the field of operations and supply chain management, as in many other professional or research fields, it is still not clear what is the required set of contemporary competencies for a successful professional performance (Bauer, 2018; D'Orazio, Schiraldi & Vincenzi, 2019; Schallock, 2018; Wienbruch, 2018). At a fundamental level, competences are intended as professional human behaviour abstractions and can be described as human qualities which are connected with skills, knowledge, ability, talent, and employee engagement (Abele, 2015; Bedolla, 2017, Miranda, 2017; Gronau, 2017). In this regard, you are embarking on a study with the aim of empirically examining the impact of operations management competence on the performance of manufacturing firms across the Southern African Development Community (SADC). You have gathered data from 160 manufacturing firms across SADC. You measured the average OMC (out of 100 points) of the employees in the operations department of each firm. Furthermore, organisational performance was measured using the Balanced scorecard (out of 100 points). Table 3.1, below, is an excerpt of the data collected. Table 3.1: Excerpt of data collected from 160 manufacturing firms across SADC # Firm 1 2 3 4 5 6 7 8 9 160 Figure 3.1: 1 Operations management competence Organisational performance a. Lilliefors Significance Correction Figure 3.2: Model The data analysis was conducted using IBM SPSS Statistics version 25 and the output depicted in Figure 3.1 to Figure 3.4 was obtained: R 62 899a 73 55 68 66 54 60 76 59 57 Tests of Normality Kolmogorov-Smimov Statistic .173 Model Summary b R Square .809 df a. Predictors: (Constant), Operations management_competence b. Dependent Variable: Organisational performance Organisational performance 59 77 55 70 62 60 63 72 65 160 Sig. .000 Adjusted R Square 807 60 Statistic Shapiro-Wilk 780 df 160 Sig. Std. Error of the Estimate 000 3.399 Figure 3.3 Model 1 Model 12 33 Regression 3.4 Reedual 35 Tool ANOVA Sum of Squares 7710.12 (Constant) Operations management competence a Dependent Vanable Organisational performance Formulate a suitable title for the study. 1825.66 9535.78 a. Dependent Variable: Organisational performance b. Predictors (Constant), Operations management competence Figure 3.4 Regression Coefficients dif 158 1 159 Mean Square Unstandardized Coefficients B 12.750 Std. Error 7710 12 11.55 2.130 810 031 Standardized Coefficients Beta 667.265 899 5.985 25.831 Specify the independent variable (V) and the dependent variable (DV) in the study. Formulate the null and alterative hypotheses for the study. Why was the test whose output is depicted in Figure 3.1 conducted as part of the data analysis? Based on Figure 32 to Figure 3.4, identify the main inferential test conducted and explain why this lerential test is appropriate for the study 1 Provide a meaningful interpretation of the output in Figure 3.2 to Figure 3.4. Your interpretation should adhere to the standard reporting format Sig 000 Sig 000 000 (3 marks) (2 marks) (2 marks) (3 marks) (3 marks) (7 marks)