Different hotels in a certain area are randomly selected, and their ratings and prices were obtained online. Using technology, with xrepresenting the ratings and y representing price, we find that the regression equation has a slope of 130 and a y-intercept of - 370.Complete parts (a) and (b) below.b. What does the symbol y represent?OA. The symbol y represents the average price of hotels in the area.

A general regression line has the form, Y=b0+b1X Where, b0: Y intercept and b1: Slope

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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A regression analysis between sales (in $1000) and price (in dollars) resulted in the following equation: y = 50,000 - 8x The above equation implies that an Increase of $1 in price is associated with a decrease of $8 in sales increase of $8 in price is assoclated with an increase of $8,000 in sales Oincrease of $1 in price is associated with a decrease of $42,000 in sales Oincrease of $1 in price is associated with a decrease of $8000 in sales
8. The linear model for some butterfly data is given by the equation y = 0.238x + 4.642. Which of the following statements best describes the slope of the model? 40 30 20 10 0. 30 60 90 120 wingspan (mm) body length (mm)
Please help, this is for financial mathematics, thank you so much!!!!!
iv. Suppose p 1. Is the time series of Y, stationary? v. Suppose p = .5. An analyst regresses Y, on the lagged value Y-1. Let p denote the OLS slope coefficient from this regression. Using the results in this class, can we conclude Please state yes or no and explain. →.57
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You are conducting a multiple regression analysis to determine if there is a linear relationship between y, the number of applications to in-state universities and two factors: ×1, the state's unemployment rate and ×2, the average grant provided to in-state students. Ten observations are available. The analysis produced the estimated regression equation below. y = 6.5 + 2.2×1 + 4.6×2 The standard error for the intercept, unemployment rate are 9.34, and 1.23, respectively. Is the coefficient for the unemployment rate variable statistically significant at the 5% significance level? Explain. A) No, since stat = 1.39 for this coefficient, which is less than 2.365. B) No, since the p-value for this coefficient is .072, which is greater than 05 C) None of these D) No, since the p-value for this coefficient is .072, which is greater than .05
The table shows the average weekly wages (in dollars) for state government employees and federal government employees for 8 years. The equation of the regression line is y=1.410x−17.174. Complete parts (a) and(b) below.
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 a y-intercept of −384. 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. b. What does the symbol y represent?
The relationship between number of TikToks watched while studying and average grade on an exam is defined by the following linear regression equation: Y=-0.3X+70 Interpret the equation by answering the following: a. What is the slope? b. What does the slope tell us in this example?
The following data show the brand, price (S), 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 ý = 22.522 + 0.335x, where x = price ($) and y = overall score. Brand Price ($) Score A 180 78 B 150 73 95 63 70 58 E 70 38 35 26 (a) Compute SST, SSR, and SSE. (Round your answers to three decimal places.) SST = SSR = SSE = (b) Compute the coefficient of determination rt. (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 provided 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 did not provide a good fit as a small proportion of the variability in y…
Tell whether a linear model or a quadratic model is appropriate for the data. If linear, tell whether the slope should be positive or negative. If quadratic, decide whether the leading coefficient of x should be positive or negative. O A. linear, negative O B. quadratic; negative O C. quadratic; positive O D. linear; positive 3- 2- -5 43 2 2. 3 4 5 20 -4-
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 135 and a y-intercept of -362. 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.

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