Independent variables while the working generalized

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independent variables while the working generalized work activities were the dependent variable. Linking the two with a regression line equation, we obtain a regression equation like: Y=a + bX, the values of a= 1.009, b= 0.836, the equation then becomes Y=1.009+ 0.836X which can be written as: Work Activities=1.009 + 0.836 (Abilities). This implies that the work activities are likely influenced by the Abilities and the higher the abilities an individual has, the better he/she would perform the work activities.
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Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate
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1 .536a .287 .247 1.49680 a. Predictors: (Constant), Abilities
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From this table, the value of R=0.536, this value shows a positive linear correlation between the Generalized work activities and the Abilities, however, the relation is moderately positive. The value of R2=0.287, this value is too low, and it implies that only 28.7 of the data can be explained by the model.
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References National Research Council, Division of Behavioral and Social Sciences and Education, Committee on National Statistics, & Panel to Review the Occupational Information Network. (2010). A Database for a Changing Economy: Review of the Occupational Information Network (O*NET). Washington, DC: National Academies Press. ork_Activities.pdf
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Sheet1 PSYC 8754/PSYC 6754: Personnel Psychology in the Workplace Data Collection Form for Generalized Work Activities (O*NET) Respondent Name: (Shauna Davis)
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For this Assignment, rate the employee’s job using the generalized work activities scales from the O*NET. Enter your responses in Column C (How important is the item to the employee's job?) and Column D (What level of activity is needed for the employee's job?). Please respond to all items for this class project. Please do not modify this form Item # Item Title Importance Level
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1 GETTING INFORMATION 2 6 2 IDENTIFYING OBJECTS, ACTIONS, AND EVENTS 4 5 3 MONITORING PROCESSES, MATERIALS, OR SURROUNDINGS 5
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7 4 INSPECTING EQUIPMENT, STRUCTURES, OR MATERIALS 5 7 5 ESTIMATING THE QUANTIFIABLE CHARACTERISTICS OF PRODUCTS, EVENTS, OR INFORMATION 2 4
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6
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