Mathematics, 24.05.2021 17:00, marvin07
Predicting Calories Consumed Using the data in NutrtitionStudy, we show computer output for a model to predict calories consumed in a day based on fat grams consumed in a day, cholesterol consumed in mg per day, and age in years: The regression equation is Predictor Coef SE Coef T P Constant 512.95 86.51 5.93 0.000 Fat 16.2645 0.7925 20.52 0.000 Cholesterol 0.4208 0.2015 2.09 0.038 Age -1.420 1.304 -1.09 0.277 Analysis of Variance Source DF SS MS F P Regression 3 111082085 37027362 336.12 0.000 Residual Error 311 34259921 110161 Total 314 145342006 Click here for the dataset associated with this question.
(a) What daily calorie consumption does the model predict for a 30 year old person who eats 47 grams of fat in a day and 182 mg of cholesterol?
(b) In this model, which variable is least significant? Which is most significant?
(c) which predictors are significant at a 5% level?
(d) Interpret the coefficient of Fat in context.
(e) Interpret the coefficient of Age in context.
(f) Interpret what the ANOVA output says about the effectiveness of this model.
(g) Interpret R2 for this model.
Answers: 1
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Itook a better photo of the question so y’all can see it i hope it’s a fine photo
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Mathematics, 21.06.2019 21:30, girlysimbelieve
Aroulette wheel has 38 slots in which the ball can land. two of the slots are green, 18 are red, and 18 are black. the ball is equally likely to land in any slot. the roulette wheel is going to be spun twice, and the outcomes of the two spins are independent. the probability that it lands one time on red and another time on black in any order is(a) 0.5 (b) 0.25 (c) 0.4488 (d) 0.2244
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Predicting Calories Consumed Using the data in NutrtitionStudy, we show computer output for a model...
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