3. Wine Participant magazine has collected average price per bottle for the prestigious Chateau Le Thundebird bordeaux for different vintages (years).The data appears in the table below.year of bottlingpricea) draw the scatter diagram showing how wine price varies by vintage yearb) use the most appropriate regression equation to determine the relationshipbetween year of bottling (age) and price.c) what is the explanatory power (RSQ) of that equationd) determine the predicted price of a bottle of this wine for the 2017 vintage.200936201040201151201260201368201472201570201665201851201944202039

The data given is: Year of bottling(x) Price(y) 2009 36 2010 40 2011 51 2012 60 2013 68…

Answered: 3. Wine Participant magazine has…

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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Is there a relationship between total team salary and the performance of football teams? For a recent season, a linear model predicting Wins (out of 16 regular season games) from the total team Salary (SM) for 32 teams in a football league is Wins = -6.353 +0.105 Salary. Complete parts a through h below. a) What is the explanatory variable? The explanatory variable is because b) What is the response variable? The response variable is because c) What does the slope mean in this context? in this league, team (Type an integer or a decimal. Do not round.) are, on average, about higher for every d) What does the y-intercept mean in this context? Is it meaningful? V is This v meaningful because it The y-intercept is the average of a team in this league whose is (Type an integer or a decimal. Do not round.) e) If one team spends $10 million more than another on salary, how many more games on average would the first team be predicted to win? O game(s) (Type an integer or a decimal. Do not…
Please help me with question d, e, f, g, h, and I. Thank you.
Let price denote a price index for the goods sold by a restaurant, advert the amount spent on advertising, sales the sales for the restaurant, and consider the following two regressions First regression: sales = B1 + B2price + B3price? + B4advert + ßsadvert? + e, Second regression: sales = B1 + B2price + B3price? + e We estimate both regressions using a sample of 105 observations. The sum of square residuals (E ê) from the first regression equals 50, while the sum of square Li=1 residuals from the second regression equals 70. Suppose we are interested in testing the null hypothesis that expected sales do not depend on advertising. What is the F- statistic for this null hypothesis? Recall the F-statistic is given by ((SSER - SSEU)/J)/(SSEy/(n – K)). O a. -15 O b. 42 Oc. 21 O d. 20 O e. All other options are incorrect.
Last ride Consider the roller coasters described inExercise 26 again. The regression analysis gives themodel Duration = 64.232 + 0.180 Drop.a) Explain what the slope of the line says about howlong a roller coaster ride may last and the height of thecoaster.b) A new roller coaster advertises an initial drop of200 feet. How long would you predict the rides last?c) Another coaster with a 150-foot initial drop advertisesa 2-minute ride. Is this longer or shorter than you’dexpect? By how much? What’s that called?
Part A: What is the most likely value of the correlation coefficient of the data in the table? Based on the correlation coefficient, describe the relationship between time and surface area of the lake. [Choose the value of the correlation coefficient from −1, −0.98, −0.5, −0.02.] Part B: What is the value of the slope of the graph of surface area versus time between 15 and 20 days, and what does the slope represent? Part C: Does the data in the table represent correlation or causation? Explain your answer.
You believe that the price of Zoom Videoconferencing stock and the price of American Airlines stock will move in opposite directions. In order to test this relationship, we do a simple regression with the following variables:A - dependent variable : month end price of American Airlines stockZ - independent variable: month end price of Zoom Videoconferencing stock Data from April 2019 through December 2020 (21 observations) is availableBased on the data, we compute the following:Var (Z) = 20927.702Cov (A,Z) = -899.153E(A) = 20.790E(Z) = 187.530Std Error of Estimate = 6.088TSS = 1476.830 Consider the equation At = b0 + b1 Zt + εtBased on the numbers given above, complete the following table Variable Estimate Std error t-statistic Slope b1 .00941 Constant b0 2.2088 R-square N/A N/A F statistic N/A N/A Are the coefficients (slope and/or constant) significant at the .05 level?
The basic hypothesis is that people who play sports are more likely than others to watch sport on TV. Your first task is to crosstabulate the data involving the playing and watching of sports and to determine the direction and strength of that relationship. Write out your findings about this basic relationship. Your next task is to determine the direction and strength of the partial relationships when you control for the gender of individuals.

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