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2. ) The pearson's r between the dependent variable television viewing hours a week and the independent variable "age range" is one of negative. 003, the stat sig value is. 981; as a result it can not be generalized to the population. 3. ) The pearson's r between the dependent variable television viewing hours a week and the independent variable "year of schooling" is one of negative. 041, the stat sig value is. 028; as a result it can not be generalized to the population. 4. ) The pearson's r between the dependent variable television viewing hours a week and the independent variable "number of credits at school" is one of positive. 311, the stat sig value is. 028; as a result it cannot be generalized to the population. 5. ) The pearson's r between the dependent variable television viewing hours a week and the independent variable "Hrs in employment" is one of negative. 365, the stat sig value is. 009; as a result it can be generalized to the population. 6. ) The pearson's r between the dependent variable television viewing hours a week and the independent variable "working class background" is one of positive. 436, the stat sig value is. 002; as a result it can be generalized to the population. 7. ) The pearson's r between the dependent variable television viewing hours a week and the independent variable "Friend's house" is positive. 089, the stat sig value is. 540, as a result it can not be generalized to the population. 8. ) The pearson's r between the dependent variable television viewing hours a week and the independent variable "at school" negative 220, the stat sig value is. 124, as a result it can not be generalized to the population. 9. ) The pearson's r between the dependent variable television viewing hours a week and the independent variable "at Work" is negative. 315, the stat sig value is. 026, as a result it can be generalized to the population. 10. ) The pearson's r between the dependent variable television viewing hours a week and the independent variable "Parent's" is negative. 001, the stat sig value is. 994. as a result it can not be generalized to the population. 11. ) The pearson's r between the dependent variable television viewing hours a week and the independent variable "Broadcast" is. negative 242, the stat sig value is. 091, as a result it can not be generalized to the population. 12. ) The pearson's r between the dependent variable television viewing hours a week and the independent variable "Satellite" is positive. 089. , the stat sig value is. 540, as a result it can not be generalized to the population. 13. ) The pearson's r between the dependent variable television viewing hours a week and the independent variable "Internet Net" is positive. 062, the stat sig value is. 668, as a result it can not be generalized to the population. 14. ) The pearson's r between the dependent variable television viewing hours a week and the independent variable "typical viewing times" is negative. 045, the stat sig value is. 757, as a result it can not be generalized to the population. 15. ) The pearson's r between the dependent variable television viewing hours a week and the independent variable "Sports" is positive. 337, the stat sig value is. 017, as a result it can be generalized to the population. 16. ) The pearson's r between the dependent variable television viewing hours a week and the independent variable "Dramas" is positive. 134, the stat sig value is. 354 as a result it can not be generalized to the population. 17. ) The pearson's r between the dependent variable television viewing hours a week and the independent variable "Comedies" is positive. 099, the stat sig value is 492 as a result it can not be generalized to the population. 18. ) The pearson's r between the dependent variable television viewing hours a week and the independent variable "Reality" is negative. 112, the stat sig value is. 438, as a result it can not be generalized to the population. Spurious relationship This is a long shot but I'm going to guess that some one's working class background will have an effect on their hours in employment which in turn will have an effect on a respondents typical TV viewing hours a week. The pearson's r between the independent variable working class background and Hrs in employment is negative. 235, the stat sig value is. 100, which is not less then. 05 so we can not generalize this relationship to the population. Reason Why Certain independent Variables were chosen as References 1. ) For the gender category I left out the "male" independent variable because the majority of respondents choose it, this particular independent variable will be used as the baseline comparison. 2. ) For year of "year of schooling" category I left out the "junior" independent variable because the majority of respondents choose it, this particular independent variable will be used as the baseline comparison. 3. ) For the "typically where do respondents watch TV" category I left out "in your home" independent variable because the majority of respondents choose it, this particular independent variable will be used as the baseline comparison. 4. ) For the "program provider" category I left out the "cable" independent variable because the majority of respondents choose it, this particular independent variable will be used as the baseline comparison. 5. ) For the "type of programming do you view most often when you are watching television" category I left out the "news" independent variable because the majority of respondents choose it, this particular independent variable will be use as the baseline comparison.
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Research essay sample on Hours A Week Dependent Variable
