A random sample of beef hotdogs was taken and the amount of sodium (in mg) and calories were measured.The data are in the table. Create a scatter plot and find a regression equation between amount of caloriesand amount of sodium. Then use the regression equation to find the amount of sodium a beef hotdog has ifit is 138 calories and if it is 100 calories. Which sodium level that you calculated do you think is closer tothe true sodium level? Why?Calories and Sodium Levels in Beef HotdogsCaloriesSodium181477114296184440164495149374180526137251170482133350Select the correct scatterplot.500400440420400340300200124010 15 120 125 18015 140 145 150 155 100 45 170 175 Jao Jas I80 4p.500400440420400300340300200I4oio is 120 125 180 135 140 J45 J50 153 100 165 170o5004004404204003003403203002202001240lio is 120 125 180 1 140 145 150 155 100 165 170 175 Jao Jas J0 4s.The regression equation is y=decimal places if necessary.)(Round to twoFor x = 138, y=(Round to two decimal places if necessary.)For x = 100, y =(Round to two decimal places ff necessary.)The sodium level for the ?interpolation, while the one for ?v calories is probably closer to the true sodium level because it isv calories is extrapolation.

Answer: Scatter plot Option 3 is correct

Answered: The regression equation is y (Round to…

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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For the regression equation Ŷ = –2X + 6, what can be determined about the correlation between X and Y? a. The correlation definitely will be positive. b. The correlation will be relatively large and positive c. The correlation definitely will be negative. d. The correlation will be relatively large and negative.
you are the Filipino analyst hired by the multinational company to study the sales data of its more than 75 stores worldwide. You used regression analysis to predict $ sales by using $ advertising (x1) and $ salary of sales representatives (x2) across all the branches. You obtained the following regression function: y = 7800 + 8.5x1-1.6x2 If the advertising budgets of one of the branches of the corporation is the same as before and the salary of sales representatives is now 20% less than before, then the predicted sales in that branch will
The volume (in cubic feet) of a black cherry tree can be modeled by the equation y = - 51.7 +0.4x, +4.7x2, where x, is the tree's height (in feet) and x, is the tree's diameter (in inches). Use the multiple regression equation to predict the y-values for the values of the independent variables. (a) x, = 72, x2 = 8.7 (b) x, = 65, x2 = 10.2 (c) x4 = 81, x2 = 17.5 (d) x, = 90, x2 = 20.7 %3D (a) The predicted volume is cubic feet. (Round to one decimal place as needed.)
FAL The money raised and spent (both in millions of dollars) by all congressional campaigns for 8 recent 2-year periods are shown in the table. The equation of the regression line is y = 0.959x + 15.575. Find the coefficient of determination and interpret the result. Money raised, x Money spent, y 472.7 446.1 652.5 681.3 742.1 747.2 Find the coefficient of determination and interpret the result. 2 (Round to three decimal places as needed.) 785.7 779.4 1025.2 954.5 1207.4 1008.1 933.1 1165.1 769.1 725.3
The table shows the amounts of crude oil (in thousands of barrels per day) produced by a certain country and the amounts of crude oil (in thousands of barrels per day) imported by the same country for seven years. The equation of the regression line is y=-1.196x+16,255.09. Complete parts (a) and (b) below. Produced, x Imported, y (a) Find the coefficient of determination and interpret the result (Round to three decimal places as needed.) How can the coefficient of determination be interpreted? The fraction of the variation in the amount of the variation is unexplained and is due to other factors or to sampling error. (b) Find the standard error of estimates, and interpret the result. thousands of barrels per day (Round to three decimal places as needed.) How can the standard error of estimate be interpreted? The standard error of estimate of the amount of 5,827 9,349 for 5,701 5,590 5410 5.216 5,105 5,035 9,107 9,654 10,059 10,105 10,198 10,003 BULLM that can be explained by the…
Need help If my outer regression equation is Weight= -191.891 + 5.06 (Height) How do I find the estimated weight LBS for an individual with height 76 inches?
The equation used to predict annual cauliflower yield (in pounds per acre) is y=24,596+4.423x1−4.772x2, where x1 is the number of acres planted an x2 is the number of acres harvested. Use the multiple regression equation to predict the y-values for the values of the independent variables.
The table gives the amount of money (in dollars) spent on football by a major university. Letting x represent the number of years since 2006, and letting y represent the amount of money spent on football, in thousands of dollars, use the regression capabilities of a graphing calculator to find the equation of the line of best fit. Round values off to the nearest hundredth. Then, use your equation to make the following predictions. Year 2006 Dollars spent on football 173,000 The equation of the line of best fit is: Hint 2009 2010 2011 2007 2008 19 000 210,000 223,000 243,000 271,000 Predict the amount of money that will be spent on football in the year 2022. Predict the amount of money that will be spent on football in the year 2041.
Please only answer “d” and “e” as I already have the other parts filled out. Thank you!
A regression analysis between cost to build a clinic (in dollars) and clinic size (in square foot) resulted in the following equation: y=75+6x. This implies that if the clinic size is 800 square feet, then the cost to build a clinic (in dollars) is?
Given the regression equation Y = 43 - 10X, the change in Y when X changes by -3 is a. -13 O b. -30 Ос. 13 O. d. 30
What is the slope and intercept for the regression equation given this data?X = -5, 34, 56, 0, 61Y = 13, 63, 46, -23, 50

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The regression equation is y (Round to two decimal places if necessary.) For x 138, y (Round to two decimal places if necessary.) For x- 100, y- (Round to two decimal places if necessary.)