pls solve correctly, asap
Posted: Mon Jul 11, 2022 11:57 am
pls solve correctly, asap
The human resource manager at a large recruitment agency wants to investigate if the number of sick leave days taken by employees is related to smoking behaviour. In particular the human resource manager thinks that more sick leave days tend to be taken if the number of cigarettes smoked per day is higher. To test this, the human resource manager enlists the help of the recruitment agency's payroll staff, and asks them how many cigarettes they smoke per day, as well as using the company's leave register to record the number of sick days taken for each of these staff members. The following results were obtained. 20 18 16 14 8. " 2 . Number of Cigarettes Smoked [per day] Sick leave [days) . Model 1 . • . 18 Number of Cigarettes Smoked [per day) O Correlations Pearson Correlation Sig (2-tailed). N (Constant) Number of Cigarettes Smoked [per day! a. Dependent Variable: Sick leave [days] Pearson Correlation Sig. (2-tailed) N * Correlation is significant at the 0.05 level (2-tailed). Coefficients Bounds 20 13.885 -313 Number of Cigarettes Smoked [per dayl 1 Unstandardized Coefficients B Std. Error 17 -592 020 15 2.375 118 95% Confidence Interval for CORRELATION Sample correlation: Sample size: Lower -0.8473 -0.1144 Upper @ 21 Sick leave [days] -592 020 15 1 16 Standardized Coefficients Beta t 5.846 -592 -2.649 Sig <.001 020
Is this an experimental or observational study?
Which is the best interpretation of the coefficient of determination? a), b), c), or d)? a) It is the amount of the variation in sick days taken that can be explained by the linear relationship between number of sick days taken and number of cigarettes smoked per day. b) It is the amount of the variation in number of cigarettes smoked per day that can be explained by the linear relationship between number of sick days taken and number of cigarettes smoked per day. c) It is the amount of the variation in sick days taken that can be explained by number of cigarettes smoked per day. d) It is the amount of the variation in number of cigarettes smoked per day that can be explained by number of sick days taken. b) Which is the best interpretation of the regression coefficient? a), b), c), d), e), f), g), or h)? a) In this sample, for each additional sick leave days taken, on average, the amount of cigarettes smoked per day was 13.89 cigarettes less. b) In this sample, for each additional sick leave days taken, on average, the amount of cigarettes smoked per day was 13.89 cigarettes more. c) In this sample, for each additional sick leave days taken, on average, the amount of cigarettes smoked per day was 0.31 cigarettes less. d) In this sample, for each additional sick leave days taken, on average, the amount of cigarettes smoked per day was 0.31 cigarettes more. e) In this sample, for each additional cigarette smoked per day, on average, sick leave days taken was 13.89 days less. f) In this sample, for each additional cigarette smoked per day, on average, sick leave days taken was 13.89 days more. g) In this sample, for each additional cigarette smoked per day, on average, sick leave days taken was 0.31 days less. h) In this sample, for each additional cigarette smoked per day, on average, sick leave days taken was 0.31 days more.
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Is this an experimental or observational study?
Which is the best interpretation of the coefficient of determination? a), b), c), or d)? a) It is the amount of the variation in sick days taken that can be explained by the linear relationship between number of sick days taken and number of cigarettes smoked per day. b) It is the amount of the variation in number of cigarettes smoked per day that can be explained by the linear relationship between number of sick days taken and number of cigarettes smoked per day. c) It is the amount of the variation in sick days taken that can be explained by number of cigarettes smoked per day. d) It is the amount of the variation in number of cigarettes smoked per day that can be explained by number of sick days taken. b) Which is the best interpretation of the regression coefficient? a), b), c), d), e), f), g), or h)? a) In this sample, for each additional sick leave days taken, on average, the amount of cigarettes smoked per day was 13.89 cigarettes less. b) In this sample, for each additional sick leave days taken, on average, the amount of cigarettes smoked per day was 13.89 cigarettes more. c) In this sample, for each additional sick leave days taken, on average, the amount of cigarettes smoked per day was 0.31 cigarettes less. d) In this sample, for each additional sick leave days taken, on average, the amount of cigarettes smoked per day was 0.31 cigarettes more. e) In this sample, for each additional cigarette smoked per day, on average, sick leave days taken was 13.89 days less. f) In this sample, for each additional cigarette smoked per day, on average, sick leave days taken was 13.89 days more. g) In this sample, for each additional cigarette smoked per day, on average, sick leave days taken was 0.31 days less. h) In this sample, for each additional cigarette smoked per day, on average, sick leave days taken was 0.31 days more.