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A study was conducted among IT officers working in different IT Centers in Kathmandu valley. One of the objectives of the study was to quantify the effect of age and working hours per day on Computer Vision Syndrome (CVS). The CVS was measured in a continuum measurement scale varying from 0 to 50. A few parts of the data were taken randomly from the surveyed data and provided in the following table for the statistical analysis.
Respondent’s ID | 001 | 007 | 125 | 231 | 99 | 299 | 145 |
Scales of CVS | 6 | 7 | 5 | 11 | 3 | 29.0 | 28 |
Age of respondents (in years) | 24 | 26 | 30 | 41 | 47 | 50 | 52 |
Working hour(per day) | 4 | 5 | 6 | 8 | 3 | 6 | 7 |
Recognize which one is the dependent variable. Assuming that the relationship between CVS, age, and working hours is linear. Fit a multiple linear regression model to address the objective of the study and interpret the model appropriately.
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