Delicacies Above the Rest, a high-end United States based restaurant in Montego bay, used regression analysis to developa cost function for producing minicheesecakes. The calculations have produced the following information:Ex 270, Ey = 360, nEx2 10,818, Ey2 18,107 and nExy 14,102Using the information given, what is the variable cost per unit?US$0.96Ob.US$3.70Oc.US$0.52d.US$1.21

Regression analysis is useful in predicting value of a response variable, for a given value of the…

Answered: Delicacies Above the Rest, a high-end…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.5: Correlation And Causation

Problem 2CYU

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For the following exercises, consider the data in Table 5, which shows the percent of unemployed in a city ofpeople25 years or older who are college graduates is given below, by year. 41. Based on the set of data given in Table 7, calculatethe regression line using a calculator or othertechnology tool, and determine the correlationcoefficient to three decimal places.
For the following exercises, consider the data in Table 5, which shows the percent of unemployed ina city of people 25 years or older who are college graduates is given below, by year. 40. Based on the set of data given in Table 6, calculate the regression line using a calculator or other technology tool, and determine the correlation coefficient to three decimal places.
Find the mean hourly cost when the cell phone described above is used for 240 minutes.
For the following exercises, use Table 4 which shows the percent of unemployed persons 25 years or older who are college graduates in a particular city, by year. Based on the set of data given in Table 5, calculate the regression line using a calculator or other technology tool, and determine the correlation coefficient. Round to three decimal places of accuracy
Louis Katz, a cost accountant at Papalote Plastics, Inc. (PPI), is analyzing the manufacturing costs of a molded plastic telephone handset produced by PPI. Louis's independent variable is production lot size (in 1,000's of units), and his dependent variable is the total cost of the lot (in $100's). Regression analysis of the data yielded the following tables. Intercept Source Coefficients Total df 11 3.996 SS F Regression 1 9.858769 9.858769 12.22345 Residual 8.872 0.806545 0.358 Save for Later Standard Error Using a=0.05, Louis should 12 18.73077 O suspend judgment O not reject Ho: Po=0 O reject Ho: 1₁=0 O increase the sample size O not reject Ho: 1-0 p-value 1.161268 3.441065 0.004885 0.102397 3.496205 0.004413 t Statistic MS Se = 0.898 r² = 0.526341
For the relationship between Calories and Carbs, here is the equation of the line of best fit: nts Regression Equation: Calories = 2.36 + 4.432 Carbs The range of Carb values in the dataset was between 17 and 47 Carbs. What wourd you say if asked to predict the number of Calories if a cereal had 60 Carbs? Type your response in the text box..
For the advertised price and number of miles data, the equation of the regression line is price = 18,773-86.18(thousands of miles) Predict the asking price for a car with 50,000 miles. $ type your answer...
Bluereef real estate agent wants to form a relationship between the prices of houses, how many bedrooms, House size in sq ft and Lot Size in sg ft. The data pertaining to 100 houses were processed using MINITAB and the following is an extract: The regression equation is Price = B + ÞBedroom + yHouse Size + ALot Size Predictor Coef SE Coef T P Constant 37718 14177 2.66 ** Bedrooms 2306 6994 0.33 0.742 House Size 74.3 52.98 0.164 Lot Size -4.36 17.02 -0.26 0.798 s= 25023 R-Sq=56.0% R-Sq(adj)=54.6% Source DF MS F P Regression Residual 3 76501718347 25500572782 **** Error 96 60109046053 626135896 Total 99 1. Fill in the missing values *, **, and **** 2. Use the p-value approach to determine if o is significant at the 5% significance level
Please answer letters b-e.
Beltel Communications Division has estimated its production cost using a regression relationship based on the last 12 months of data as $30,000 per month plus $40 per telephone. The standard error of the production cost is $7,200. The division sells its telephones for $60 each. Required: What is the best estimate of the monthly sales in telephones needed to breakeven? How many telephones would the division need to sell next month to be 90% confident of earning a profit? If the division sells 2,400 telephones next month, what is the 90% confidence interval on net income? If the division sells 2,152 telephones next month, what is the probability it will incur a loss?
The following multiple regression printout can be used to predict the price (Price) of a used car given how many miles it has on it (Mileage), the size of the engine (Liter), and whether it has leather interior (Leather), where Leather = 1 for cars that have leather interior and 0 otherwise. %3D Regression Analysis: Price Versus Mileage, Liter, Leather Coefficients Term Coef SE Coef T-Value P-Value Constant 6,959 511 13.62 0.000 Mileage -0.0848 0.0178 -4.76 0.000 Liter 3,795 126 30.12 0.000 Leather 1,028 311 3.31 0.001 Regression Equation Price = 6,959 - 0.0848 Mileage + 3, 795 Liter + 1,028 Leather (a) Given this Minitab printout, is the response variable in this multiple regression equation a categorical or a numerical variable? O numerical O categorical (b) Determine whether the following statement is true or false. Given this Minitab printout, the regression coefficient for miles on the car (Mileage) is statistically significant at a = 0.05. O True O False (c) Determine whether the…
The relationship between income and expenditure y was estimated by the following regression equation. ý = 300 + 0.9.r If a person has income 3500, what is the predicted expenditure? Select one: a. 3450 O b. 2820 c. 2280 d. 3180

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Delicacies Above the Rest, a high-end United States based restaurant in Montego bay, used regression analysis to develop a cost function for producing mini cheesecakes. The calculations have produced the following information: Ex 270, Ey = 360, nEx2 = 10,818, Ey2 18,107 and nExy = 14,102