Romano's Macaroni GrillItalian1882The Old Spaghetti FactoryItalian1279Uno Chicago GrillItalian1676(a) Develop the estimated regression equation to show how overall customer satisfaction is related to the independent variable average meal price. (Round your numerical values to two decimalplaces.)(b) At the 0.05 level of significance, test whether the estimated regression equation developed in part (a) indicates a significant relationship between overall customer satisfaction and average mealprice. (Use an F test.)State the null and alternative hypotheses.O Ho: B1 2 0Ha: B1< 0O Ho: B1 = 0Ha: B, > 0O Ho: P1 s0Hai P1 > 0Ho: B1Ha: B1 + 0= 0Find the value of the test statistic. (Round your answer to two decimal places.)Find the p-value. (Round your answer to three decimal places.)p-valueState your conclusion.Do not reject Ho: There is sufficient evidence to conclude that there is a significant relationship.Reject Ho. There is sufficient evidence to conclude that there is a significant relationship.Do not reject Ho: There is insufficient evidence to conclude that there is a significant relationship.Reject Ho. There is insufficient evidence to conclude that there is a significant relationship. A statistical program is recommended.The Consumer Reports Restaurant Customer Satisfaction Survey is based upon 148,599 visits to full-service restaurant chains.t Assume the following data are representative of the results reported. Thevariable type indicates whether the restaurant is an Italian restaurant or a seafood/steakhouse. Price indicates the average amount paid per person for dinner and drinks, minus the tip. Score reflectsdiners' overall satisfaction, with higher values indicating greater overall satisfaction. A score of 80 can be interpreted as very satisfied. (Let x, represent average meal price, x, represent type ofrestaurant, and y represent overall customer satisfaction.)RestaurantТуреPrice ($)ScoreBertucci'sItalian1677Black Angus SteakhouseSeafood/Steakhouse2479Bonefish GrillSeafood/Steakhouse2685Bravo! Cucina ItalianaItalian1884Buca di Bepp0Italian1781Bugaboo Creek Steak HouseSeafood/Steakhouse1877Carrabba's Italian GrillItalian2386Charlie Brown's SteakhouseSeafood/Steakhouse1775Il FornaioItalian2883Joe's Crab ShackSeafood/Steakhouse1571Johnny Carino'sItalian1781Lone Star Steakhouse & SaloonSeafood/Steakhouse1776Longhorn SteakhouseSeafood/Steakhouse1981Maggiano's Little ItalyItalian2283McGrath's Fish HouseSeafood/Steakhouse1681Olive GardenItalian1981Outback SteakhouseSeafood/Steakhouse2080Red LobsterSeafood/Steakhouse1878Romano's Macaroni GrillItalian1882

“Since you have asked multiple questions, we will solve the first question for you. If you want any…

Develop the estimated regression equation to show how overall customer satisfaction is related to the independent variable average meal price. (Round your numerical values to two decimal places.) At the 0.05 level of significance, test whether the estimated regression equation developed in part (a) indicates a significant relationship between overall customer satisfaction and average meal price. (Use an F test.) State the null and alternative hypotheses. O Ho: Bq z 0 Hạ: Bq < 0 O Ho: Bị = 0 H,: Bz > 0 O Ho: Bị s0 Hgi Bq > 0 O Ho: Bz = 0 Hg: B1 * 0 Find the value of the test statistic. (Round your answer to two decimal places.) Find the p-value. (Round your answer to three decimal places.) p-value = State your conclusion. Do not reject Ho. There sufficient evidence to conclude that there is a significant relationship. Reject Ho. There is sufficient evidence to conclude that there is a significant relationship.

Develop the estimated regression equation to show how overall customer satisfaction is related to the independent variable average meal price. (Round your numerical values to two decimal places.) At the 0.05 level of significance, test whether the estimated regression equation developed in part (a) indicates a significant relationship between overall customer satisfaction and average meal price. (Use an F test.) State the null and alternative hypotheses. O Ho: Bq z 0 Hạ: Bq < 0 O Ho: Bị = 0 H,: Bz > 0 O Ho: Bị s0 Hgi Bq > 0 O Ho: Bz = 0 Hg: B1 * 0 Find the value of the test statistic. (Round your answer to two decimal places.) Find the p-value. (Round your answer to three decimal places.) p-value = State your conclusion. Do not reject Ho. There sufficient evidence to conclude that there is a significant relationship. Reject Ho. There is sufficient evidence to conclude that there is a significant relationship.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Q: Using the Student Grades data posed below this question, apply the Excel Regression tool using the midterm grade as the independent variable and the final exam grade as the dependent variable. Interpret all key regression results, hypothesis tests, and confidence intervals in the output. The hypothesis test and confidence interval you should interpret are for the slope. Include the Excel data, output, and your interpretations. Also interpret the standard error of the estimates and the R^2 coefficient. Student Grades Student Midterm Final Exam 1 76 65 2 84 90 3 79 68 4 88 84 5 76 61 6 66 79 7 77 73 8 94 93 9 66 60 10 92 86 11 80 53 12 87 83 13 86 55 14 63 72 15 92 87 16 75 89 17 69 81 18 92 94 19 79 78 20 60 71 21 68 84 22 71 74 23 61 74 24 68 54 25 76 94 26 72 79 27 99 89 28 58 53 29 82 78 30 72 82 31 77 69 32 95 98 33 72 93 34 71 80 35 72 82 36 96 96 37 72 61 38 89 84 39 94 97 40 85 89…
t Predictions: On A startup team is interested in creating a productivity app. In estimating the cost of creating the app, they collected sample data and developed the following regression equation: where number of developers b 2number of hours spent creating the app Is cost of software and testing ($'000) y-total cost of creating app ($'000) a. What is the value of b2 in the equation? y = -8.006-19.271x1 +0.8462 +1.786x3 b. Does it make sense to interpret bo in this equation? Yes No Accessibility: Investigate Search O W 5 I
Multiple regression analysis was used to study how an individual's income (Y in thousands of dollars) is influenced by age (X1 in years), level of education (X2 ranging from 1 to 5), and the person's gender (X3 where 0 =female and 1=male). The following is a partial result of computer output that was used on a sample of 20 individuals. Present the estimated regression equation and compute the coefficient of determination. Explain it. Use the t test to determine the significance of each independent variable. Let α = 0.05. (For each test, give the null and alternative hypotheses, test statistic, and conclusion.) Use the F test to determine whether or not the regression model is significant. Let α = 0.05. (For the test, give the null and alternative hypotheses, test statistic, and conclusion.) Does the estimated regression equation provide a good fit for the observed data? Explain it. Suppose a new person with X1=40, X2=4, X3=0. Use the estimated regression equation in part (a)…
Please fill in the blank. My answers are wrong
A B Miles Price (1000s) ($1000s) 22 29 36 47 63 77 73 87 92 101 110 28 59 68 68 91 42 65 110 16.2 16.0 13.8 11.5 12.5 12.9 11.2 13.0 11.8 10.8 8.3 12.5 11.1 15.0 12.2 13.0 15.6 12.7 8.3
please please help me and make answer clear!!! thanks so much
The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 4141 inches. Is the result close to the actual weight of 273273 pounds? Use a significance level of 0.05. Chest size (inches) 4040 5353 3838 4343 4444 5858 Weight (pounds) 227227 360360 153153 206206 234234 414414 LOADING... Click the icon to view the critical values of the Pearson correlation coefficient r. Question content area bottom Part 1 What is the regression equation? ModifyingAbove y with caretyequals=enter your response hereplus+enter your response herex (Round to one decimal place as needed.) Part 2 What is the best predicted weight of a bear with a chest size of 4141 inches? The best predicted weight for a bear with a chest size of 4141 inches is enter your response here pounds. (Round to one…
Researchers studying tigers collected data on the length (in meters) and weight (in kilograms) of the animals. Is there statistically significant evidence that the length of tigers is related to their weight?
The table below shows the average weekly wages (in dollars) for state government employees and federal government employees for 10 years. Construct and interpret a 98% prediction interval for the average weekly wages of federal government employees when the average weekly wages of state government employees is $878.The equation of the regression line is y=1.342x+55.816. Wages [state]- 712, 746, 786, 803, 841, 879, 918, 926, 954, 979 Wages [federal]- 1,024, 1,048, 1,098, 1,135, 1,195, 1,240, 1,270, 1,299, 1,340, 1,376 Construct and interpret a 98% prediction interval for the average weekly wages of federal government employees when the average weekly wages of state government employees is $878. Select the correct choice below and fill in the answer boxes to complete your choice. (Round to the nearest cent as needed.) PICK THE CORRECT ANSWER [A] We can be 98% confident that when the average weekly wages of state government employees is $878, the average weekly wages of…
Save The data show the bug chirps per minute at different temperatures. Find the regression equation, letting the first variable be the independent (x) variable. Find the best predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per minute. Use a significance level of 0.05. What is wrong with this predicted value? Chirps in 1 min 776 1173 1034 951 975 1214 D Temperature (°F) 70.1 89 77.4 76.2 77 92.6 What is the regression equation? (Round the x-coefficient to four decimal places as needed. Round the constant to two decimal places as needed.) Incorrec ary ns
I need help finding the answers for A,B,and C
Develop an estimated regression equation with annual income and household size as the independent variables. Can you explain what to put into excel to generate regression, using the data analysis tool Below is the data Income($1000s) HouseholdSize AmountCharged ($) 54 3 4,016 30 2 3,159 32 4 5,100 50 5 4,742 31 2 1,864 55 2 4,070 37 1 2,731 40 2 3,348 66 4 4,764 51 3 4,110 25 3 4,208 48 4 4,219 27 1 2,477 33 2 2,514 65 3 4,214 63 4 4,965 42 6 4,412 21 2 2,448 44 1 2,995 37 5 4,171 62 6 5,678 21 3 3,623 55 7 5,301 42 2 3,020 41 7 4,828 54 6 5,573 30 1 2,583 48 2 3,866 34 5 3,586 67 4 5,037 50 2 3,605 67 5 5,345 55 6 5,370 52 2 3,890 62 3 4,705 64 2 4,157 22 3 3,579 29 4 3,890 39 2 2,972 35 1 3,121 39 4 4,183 54 3 3,730 23 6 4,127 27 2 2,921 26 7 4,603 61 2 4,273 30 2 3,067 22 4 3,074 46 5 4,820 66 4 5,149