# 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.
Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate
1 .536a .287 .247 1.49680 a. Predictors: (Constant), Abilities
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.
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
Sheet1 PSYC 8754/PSYC 6754: Personnel Psychology in the Workplace Data Collection Form for Generalized Work Activities (O*NET) Respondent Name: (Shauna Davis)
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
1 GETTING INFORMATION 2 6 2 IDENTIFYING OBJECTS, ACTIONS, AND EVENTS 4 5 3 MONITORING PROCESSES, MATERIALS, OR SURROUNDINGS 5
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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