Different hotels in a certain area are randomly selected, and their ratings and prices were obtained online. Using technology, with x representing the ratings and y representing price, we find that the regression equation has a slope of 130 and ay-intercept of -373. Complete parts (a) and (b) below.a. What is the equation of the regression line? Select the correct choice below and fill in the answer boxes to complete your choice.A.уз|+ (_)&B. VхC.D.|хb. What does the symbol y represent?A. The symbol y represents the average price of hotels in the area.B. The symbol y represents the expected price when the hotel's rating is 0.C. The symbol y represents the amount that price increases with a 1-point increase in rating.D. The symbol y represents the predicted value of price.II

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Answered: Different hotels in a certain area are…

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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The mean of variable X is 1 and the mean of variable Y is 2. The slope coefficient is 1.5. Determine the Y intercept assuming X is the independent.
sework.asp?homeworkid-628571169&questionid=15&fushed-true&cid-7016387¢erinyes =chle 2.3 K extbook O 대 Write an Question 21, 2.3.73 Part 1 of 2 Richard F (a) Write the equation of the line in slope-intercept form. (Simplify your answer. Use integers or fractions for any numbers in the equation.) HW Score: 86.96%, 20 of 23 points O Points: 0 of 1 line passing through the given point and satisfying the given condition. Give the equation (a) in slope-intercept form and (b) in standard form. (8, 4); parallel to 5x - y = 2 Clear all
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Find the regression equation for income (in thousands) and tax returns (in thousands). X Y 67 6 51 4 47 2 a) What is the slope? b) What is the y-intercept? c) What is the predicted tax return for someone who made 102 thousand dollars.
The table shows the number of goals allowed and the total points earned (2 points for a win, and 1 point for an overtime or shootout loss) by 14 ice hockey teams over the course of a season. The equation of the regression line is ŷ= -0.556x+217.766. Use the data to answer the following questions. (a) Find the coefficient of determination, 12, and interpret the result. (b) Find the standard error of the estimate, Se, and interpret the result. 213 213 223 226 259 266 281 202 210 205 226 207 259 239 D Goals Allowed, x Points, y 109 109 102 91 88 80 52 105 107 98 95 85 68 66 (a)² = (Round to three decimal places as needed.) Interpret the coefficient of determination. Select the correct choice below and fill in the answer box to complete your choice. (Round to one decimal place as needed.) OA. About OB. About (b) Se = % of the variation in points earned can be explained by the relationship between number of goals allowed and points earned. The remaining variation is unexplained. % of the…
Write an equation of the line that passes through (1,2) and is parallel to the line y=-5x+4
The table shows the numbers of new-vehicle sales (in thousands) in the United States for Company A and Company B for 10 years. The equation of the regression line is y = 0.991x + 1,222.81. Complete parts (a) and (b) below. New-vehicle sales (Company A), x New-vehicle sales (Company B), y 4,149 3,923 3,566 3,400 3,266 3,076 2,868 2,485 1,952 2,066 4,912 4,871 4,827 4,721 4,672 4,474 4,684 3,822 2,956 2,754 (a) Find the coefficient of determination and interpret the result. r² = r2 = 0.821 (Round to three decimal places as needed.) How can the coefficient of determination be interpreted? The coefficient of determination is the fraction of the variation in new-vehicle sales for Company B that can be 2 explained by the variation in new-vehicle sales for Company A and is represented by The remaining fraction of the variation, 1-2, is unexplained and is due to other factors or to sampling error. s (b) Find the standard error of estimates and interpret the result. Se O (Round to three decimal…
The following linear regression model can be used to predict ticket sales at a popular water park. Ticket sales per hour = - 631.25 + 11.25(current temperature in °F)23) Choose the statement that best states the meaning of the slope in this context. A) The slope tells us that a one degree increase in temperature is associated with an average increase in ticket sales of 11.25 tickets. B) The slope tells us that high temperatures are causing more people to buy tickets to the water park. C) The slope tells us that if ticket sales are decreasing there must have been a drop in temperature. D) None of these
The Terre Haute Association of Realtors conducts a study to examine the association between the size of a home (in square feet) and the price the home sells for (in dollars). a regression model is then created to predict the price based on the size of the home and is given by the following equation: Price = - 43511+86.3(Size) a) Interpret the slope and intercept of the model in context using a complete sentence. b) Predict the selling price of a home with 2000 square feet. c) Suppose R2- 9225 Interpret its meaning in context using a complete sentence. d) Would it be better for a person to experience a positive or negative residual in this context? Please explain in a complete sentence.
Using the following values: sum squared of deviations on variable X equals 140, sum squared of deviations on variable Y equals 60; sum of product of deviations between the variables X and Y equals -80 ; arithmetic mean for variable X equals 3, arithmetic mean for variable Y equals 12. Number of observations = 30. Xpredict=2 Estimate the coefficients: intercept and slope.Calculate the coefficient of determination. Give the interpretation.Calculate the standard error on the estimated equation.Make the tests on statistical significance for level of significance 0,05 (t-test only for coefficient slope, F-test).List all levels of significance for which the null hypothesis is rejected. Calculate the pointed forecasting and confidence intervals.Calculate the average coefficient of elasticity, interpretation.Write a general conclusion about the quality of fitting the estimated equation.
The arm span and foot length were both measured (in centimeters) for each of 20 students in a biology class. The computer output displays the regression analysis. Which of the following is the best interpretation of the coefficient of determination r2? About 37% of the variation in arm span is accounted for by the linear relationship formed with the foot length. About 65% of the variation in foot length is accounted for by the linear relationship formed with the arm span. About 63% of the variation in arm span is accounted for by the linear relationship formed with the foot length. About 63% of the variation in foot length is accounted for by the linear relationship formed with the arm span.
The heights and weights of elephants at the zoo are recorded in the table. Height (in feet) 4 6 7 7 7.5 9 Weight (in tons) 1.25 1.9 2.5 2.1 2.3 3.4 Interpret the slope, using the equation for the line of best fit ŷ = 0.513x − 0.408; for every additional foot in height, the elephant is predicted to gain 0.513 tons of weight ŷ = 0.408x − 0.513; for every additional foot in height, the elephant is predicted to gain 0.408 tons of weight ŷ = 0.408x − 0.513; for every additional foot in height, the elephant is predicted to lose 0.513 tons of weight ŷ = 0.513x − 0.408; for every additional foot in height, the elephant is predicted to lose 0.408 tons of weight

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