Content X Search - yahoo m X enochntiduah@y x @ Launch Meeting X G Read about and c X Course Hero X W Global waste trac X + X G https://bb-csuohio.blackboard.com/ultra/courses/_140669_1/cl/outline?legacyUrl=~2Fwebapps~2Fblackboard~2Fconten... G * Question Completion Status: X QUESTION 5 3 points Save Answer In a study of modeling the relation between body fat percentage (in %) and subjects' age (in year) and gender, a linear regression model is used. An indicator variable is used for the gender variable. Both genders were observed in the data. The age was the actual age of subject and is a continuous variable ranged from 20 to 65. The SPSS output for this regression is provided below for estimation of coefficients and test of significance of the coefficients. "Sig." in the table is "p-value". (There are two correct answers. No partical credit for this question.) Coefficients= Unstandardized Standardized coefficients Coefficients Model B Std. Error Beta Sig. (Constant) 12.322 5.899 2.089 046 AGE 352 .111 503 3.162 004 GENDER 3.587 2.605 -.219 -1.377 180 endent variable: FATPRONT X A. When the age variable is controlled, the difference between the average body fat of the male and female is statistically insignificant at 5% level. B. Both gender and age variables are statistically significant, at 5% level in, predicting the body fat percentage, since the p-value of the overall model is .046 and is less than .05. O C. The age variable is statistically significant, at 5% level, in predicting body fat percentage. O D. At 5% level of significance, the gender variable is statistically significant in predicting body fat percentage. Priv Click Save and Submit to save and submit. Click Save All Answers to save all answers. Save All Answers Save and Submit Ter Type here to search O X W ? 10:23 PM 46'F Mostly cloudy 11/2/2021