Question
Which of the following is an example of an independent
variable in a data analysis model that predicts employee productivity based on training hours?Solution
In data analysis, an independent variable is one that is manipulated or varied to observe its effect on a dependent variable. Here, тАЬEmployee training hoursтАЭ is the independent variable as it is the factor being analyzed for its impact on productivity. The model aims to measure how varying training hours might affect employee productivity, where productivity is the dependent variable (the outcome). Independent variables in such models are critical as they help determine the causes or influences on the outcome, assisting in decisions around resource allocation, training programs, and employee performance enhancement strategies. The other options are incorrect because: тАв Employee productivity scores (Option 1) represent the dependent variable, the outcome being predicted. тАв Total company revenue (Option 2) does not directly relate to individual employee productivity in this context. тАв Number of company locations (Option 4) is unrelated to employee productivity and would not vary based on the training hours. тАв Data collection method (Option 5) is not an independent variable in this analysis model but part of the procedural framework.
- 'рдкрдВрдЪрд╛рдореГрдд ' рдореЗрдВ рдХреМрди-рд╕рд╛ рд╕рдорд╛рд╕ рд╣реИ ? 
- рд╡рд┐рдирдореНрд░┬а┬а 
- рдирд┐рдореНрдирд▓рд┐рдЦрд┐рдд рдореЗрдВ рд╕реЗ рдХреМрдирд╕рд╛ рд╢рдмреНрдж рд╡рд░реНрддрдиреА рдХреА рджреГрд╖реНрдЯрд┐ рд╕реЗ рдЕрд╢реБрджя┐╜... 
- рдкреНрд░рддрд┐рд╡рд╛рджреАтАЩ рдХреЗ рд▓рд┐рдП рдХреМрдирд╕рд╛ рд╢рдмреНрдж рдЙрдкрдпреБрдХреНрдд рд╣реИ ? 
- NATURAL JUSTICE рдХрд╛ рдЖрд╢рдп рд╣реИ 
- 'рдЕрд░реНрде рд╕реЗ рд╕рдВрдмрдВрдз рд░рдЦрдиреЗ рд╡рд╛рд▓рд╛' рдХреЗ рд▓рд┐рдП рдирд┐рдореНрдирд▓рд┐рдЦрд┐рдд рдореЗрдВ рд╕реЗ рдХреМрдирд╕я┐╜... 
- рдирд┐рдореНрдирд▓рд┐рдЦрд┐рдд рдореЗрдВ рд╕реЗ рдХреМрди рд╕рд╛ рд╢рдмреНрдж рддрддреНрд╕рдо рдирд╣реАрдВ рд╣реИ ?┬а 
- ' рдЖрджреНрдп ' рдХрд╛ рд╡рд┐рд▓реЛрдо рд╢рдмреНрдж рдХреНрдпрд╛ рд╣реЛрдЧрд╛ ? 
- рдХреНрд╖рдгрд┐рдХ ' рдХрд╛ рд╡рд┐рд▓реЛрдо рд╢рдмреНрдж рдХреНрдпрд╛ рд╣реЛрдЧрд╛ ? 
- ' рдкрд░реНрд╡рдд рдХреЗ рдкрд╛рд╕ рдХреА рднреВрдорд┐ ' рдХреЗ рд▓рд┐рдП рдирд┐рдореНрдирд▓рд┐рдЦрд┐рдд рдореЗрдВ рд╕реЗ рдХреМрди рд╕рд╛ рд╢...