Need help with problems A-D Suppose a researcher wants to examine the association between the amounts of Fat and Calories in fast-food hamburgers. The data are given below. Complete parts a through g.Fat (g)20343236403642 DCalories410570590540660660640a) Create a scatterplot of Calories vs. Fat. Choose the correct graph below.A.B.C.D.800-800-60-60-to300+10300-1010-30010-30060800800Fat (g)Fat (g)CaloriesCaloriesb) Interpret the value of R in this context. Select the correct choice below and fill in the answer box to complete your choice.(Round to one decimal place as needed.)O A. The value of R is%, which is the percentage of the variation in Fat that can be accounted for by a linear model on the amount of Calories.B. The value of R is%, which is the percentage of the variation in Calories that can be accounted for by a linear model on the amount of Fat.O C. The value of R is%, which is 100% minus the percentage of the variation in Calories that can be accounted for by a linear model on the amount of Fat.Click to select your answer(s).Calories c) Write the equation of the line of regression.Calories =+() Fat%3D(Round to two decimal places as needed.)d) Use the residuals plot to explain whether your linear model is appropriate. Choose the correct answer below.O A. The linear model is not appropriate because the residuals plot shows increasing spread.B. The linear model is appropriate because the residuals have consistent spread without any obvious outliers or patterns.C. The linear model is not appropriate because there is at least one obvious outlier in the residuals plot.D. The linear model is not appropriate because the residuals plot shows decreasing spread.O E. The linear model is not appropriate because the residuals plot shows an obvious curved pattern.e) Explain the meaning of the y-intercept of the line. Select the correct choice below and fill in the answer box to complete your choice.(Round to two decimal places as needed.)O A. The y-intercept indicates that every calorie addsgram(s) of fat, on average.

We have used the excel data analysis tool to run the regression analysis.b)Option a) is correct.R-square= 0.7973 c)The regression line is given by Calories =202.57 +11.05Fat d) Option c) is correct. There is one outlier in the model

Math

Statistics

a) Create a scatterplot of Calories vs. Fat. Choose the correct graph below. O A. O B. OD. 800 800- Q 60- Q 60- 10- 300 10+ 300 300+ 300- 60 60 800 800 10 Fat g) 10 Fat (g) Calories Calornes b) Interpret the value of R? in this context. Select the correct choice below and fill in the answer box to complete your choice. (Round to one decimal place as needed.) O A. The value of R? is %, which is the percentage of the variation in Fat that can be accounted for by a linear model on the amount of Calories. O B. The value of R? is %, which is the percentage of the variation in Calories that can be accounted for by a linear model on the amount of Fat. OC. The value of R? is %, which is 100% minus the percentage of the variation in Calories that can be accounted for by a linear model on the amount of Fat. lick to select vour answer(s)

a) Create a scatterplot of Calories vs. Fat. Choose the correct graph below. O A. O B. OD. 800 800- Q 60- Q 60- 10- 300 10+ 300 300+ 300- 60 60 800 800 10 Fat g) 10 Fat (g) Calories Calornes b) Interpret the value of R? in this context. Select the correct choice below and fill in the answer box to complete your choice. (Round to one decimal place as needed.) O A. The value of R? is %, which is the percentage of the variation in Fat that can be accounted for by a linear model on the amount of Calories. O B. The value of R? is %, which is the percentage of the variation in Calories that can be accounted for by a linear model on the amount of Fat. OC. The value of R? is %, which is 100% minus the percentage of the variation in Calories that can be accounted for by a linear model on the amount of Fat. lick to select vour answer(s)

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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