40 5 points To determine whether the independent variable, smoker (1=yes, 0=no), is associated with the dependent variable, number of missed days of work, we run a linear regression. Assume the dependent variable is normally distributed. Family income and age are control variables. Which of the following interpretations of the linear regression table below is true? Coefficients Standardized Unstandardized Coefficients Coefficients Model B Std. Error Beta Sig. (Constant) 985 059 16.803 000 SMOKER 609 048 113 12.816 000 TOTAL FAMILY INCOME -. 159 016 -.081 -9.978 .000 AGE -.002 .006 -.003 -.285 .776 a. Dependent Variable: HOW MANY DAYS MISSED WORK On average, smokers missed 0.609 more days of work than non-smokers while controlling for income and age. On average, smokers showed up to work on 0.609 more days of work than non-smokers while controlling for income and age. On average, smokers missed 0.159 more days of work than non-smokers while controlling for income and age. On average. non-smokers missed 0.609 more days of school than smokers while controlling for income and age