A magazine publishes restaurant ratings for various locations around the world. The magazine rates the restaurants for food, decor, service, and the cost per person. Develop a regression model to predict the cost per person, based on a variable that represents the sum of thethree ratings. The magazine has compiled the accompanying table of this summated ratings variable and the cost per person for 25 restaurants in a major city. Complete parts (a) through (e) below.Click the icon to view the table of summated ratings and cost per person.a. Construct a scatter plot. Choose the correct graph below.O A.90+00Cost ($)TheMRating90QO B.A Cost (5)90+0H+4AlpeRating90Qb. Assuming a linear relationship, use the least-squares method to compute the regression coefficients bo and b₁.bo= and b₁ =(Round to two decimal places as needed.)CO C.90+0-Cost (S)HARating90QSummated Ratings and Cost Per PersonSummated Rating Cost ($ per person)4048606142404355676966636155615048535175635551574657546763527469Print433535423785513933312343466459274949- XDone

Answered: A magazine publishes restaurant ratings…

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 many people, breakfast cereal is an important source of fiber in their diets. Cereals also contain potassium, a mineral shown to be associated with maintaining a healthy blood pressure. An analysis of the amount of fiber (in grams) and the potassium content (in milligrams in serving of 77 breakfast cereals produced the regression model Potassium 38+27Fiber. From this model you can estimate a cereals potassium content from the amount of fiber it contains. In this context, what does it mean to say that a cereal has a negative residual? Choose the porrect answer below. OA. The potassium content is actually higher than the model predicts for a cereal with that much fiber OB. The potassium content is actually lower than the model predicts for a cereal with that much fiber OC. The cereal does not have enough potassium OD. The cereal is an outlier in the model.
The following data show the brand, price ($), and the overall score for six stereo headphones that were tested by a certain magazine. The overall score is based on sound quality and effectiveness of ambient noise reduction. Scores range from 0 (lowest) to 100 (highest). The estimated regression equation for these data is ŷ = 21.656 + 0.333x, where x = price ($) and y = overall score. Brand Price ($) Score A 180 76 B 150 73 95 61 70 54 E 70 42 35 24 (a) Compute SST, SSR, and SSE. (Round your answers to three decimal places.) SST = SSR = SSE = (b) Compute the coefficient of determination r. (Round your answer to three decimal places.) 12 = Comment on the goodness of fit. (For purposes of this exercise, consider a proportion large if it is at least 0.55.) O The least squares line did not provide a good fit as a small proportion of the variability in y has been explained by the least squares line. O The least squares line provided a good fit as a small proportion of the variability in y…
Come up with a potential relationship to estimate via regression analysis. You need to have a dependent variable you are trying to explain and at least two explanatory variables. Be sure to explain the economic logic linking your dependent and explanatory variables. Also comment on your unit of analysis. Will your data be individual people, countries, sales at a particular location, etc.?
Using data from the U.S. Census Bureau, we will analyze the relationship between living below the poverty line and access to health care for a selected sample of 14 states. Use the percentage of the population without health insurance as the dependent variable to calculate the slope and provide an interpretation of the slope. Do include the value of the slope in your answer. State % uninsured % below poverty line Arkansas 9.6 16.2 California 8.3 11.8 Florida 16.1 12.7 Indiana 9.7 11.9 Kentucky 6.7 16.3 8.7 9.2 New Jersey 11.5 18.2 New Mexico 6.3 13.0 New York 8.1 10.6 North Dakota 12.0 6.7 Pennsylvania 10.8 4.8 Rhode Island 13.6 19.9 Texas 9.8 7.5 Washington 10.4 6.5 Wisconsin Soece AmercanCommunt ivex 2019
Please help.Thanks so much
Refer to the data set:Part a: Make a scatter plot and determine which type of model best fits the data.Part b: Find the regression equation.Part c: Use the equation from Part b to determine y when x = 5.
Determine if the relation between independent variable and dependent variable given below has a positive, negative or no correlation: The amount of tea a person drinks and the intelligence level of a person. The starting salary earned and the education level. The height of a person and the weight of a person. The speed of the car and time taken for a journey. Smoking and lung disease.
Can you please tell also the test statistics and if the weight is close to 518 pounds?
Using your favorite statistics software package, you generate a scatter plot with a regression equation and correlation coefficient. The regression equation is reported as y=-59.97x+67.54 and the r=-0.31 What percentage of the variation in y can be explained by the variation in the values of x? r² = % (Report exact answer, and do not enter the % sign) .
The number of megapixels in a digital camera is one of the most important factors in determining picture quality. But, do digital cameras with more megapixels cost more? The following data show the number of megapixels and the price ($) for 10 digital cameras(Consumer Reports, March 2009). Use these data to develop an estimated regression equation that can be used to predict the price of a digital camera given the number of megapixels. Brand and Model Megapixels Price (S) Canon PowerShot SD1100 IS Casio Exilim Card EX-510 8 180 200 230 10 Sony Cyber-shot DSC-T70 Pentax Optio M50 Canon PowerShot G10 120 470 15 8 Canon PowerShot A590 IS Canon PowerShot El 140 180 10 12 Fujifilm FinePix FOOFD Sony Cyber-shot DSC-W170 Canon PowerShot A470 310 10 250 110
Regression refers to a dependent variable (Y) and an independent variable (X). Explain the meaning of dependent and independent variable.
-by-Side We expect a car's highway gas milcage to be related to its city gas mileage (in miles per gallon, mpg). Data for all 1259 vehicles in the government's 2019 Fuel Ecomomy Guide give the regression line (b) What is the intercept? Give your answer to three decimal places. highway mpg - 8.720 + (0.914 x city mpg) intercept: mpg for predicting highway milcage from city mileage. Why is the value of the intercept not statistically meaningful? O The value of the intercept represents the predicted highway milcage for city gas mileage of 0 mpg. and such a prodiction would be invalid since O is outside the range of the data. O The value of the intercept represents the predicted city mileage for highway gas mileage of 0 mpg. and such a car does not exist. The value of the intercept is an average value calculated from a sample. The value of the intercept represents the predicted highway milcage for slope 0.

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