an ANOVA table for a multiple regression analysis, total varlation is separated Into, Multiple Choice treatment and error variation

Predicting Percent Body FatThis problem uses the dataset BodyFat, which gives the percent of weight made up of body fat for 100 men as well as other variables such as Age, Weight (in pounds), Height (in inches), and circumference (in cm) measurements for the Neck, Chest, Abdomen, Ankle, Biceps, and Wrist.1Using Neck Circumference to Predict Body FatThe regression line for predicting body fat percent using neck circumference is BodyFat^=-47.9+1.75(Neck). Click here for the dataset associated with this question.   (a) What body fat percent does the line predict for a person with a neck circumference of 35 cm?Round your answer to two decimal places.BodyFat^= %What body fat percent does the line predict for a person with a neck circumference of 40 cm?Round your answer to one decimal place.BodyFat^= %   (b) One of the men in the study had a neck circumference of 38.7 cm and a body fat percent of 11.3. Find the residual for this man.Round your answer to three decimal places.residual= %…

What mean physical health score would you expect in a group of 28-year-old women with a graduate degree?

What is a fitted value for a multiple regression model and the data that is used to create it? Select one. O It is the predicted value of the response variable using the multiple regression model. It is the difference between the actual value of the response variable and the corresponding predicted value (regression error) using the multiple regression model. It is a statistic that is used to evaluate the significance of the multiple regression model. It is a statistic that explains the relationship between response and predictor variables.