In a study of the influence of financial institutions on bond interest rates in a certain country, quarterly data over a periodof 12 years were analyzed. The postulated model was y¡ = Bo + B₁×₁¡ + B₂X2; + &¡, where y; is the change over thequarter in the bond interest rates, X₁₁ is the change over the quarter in bond purchases by financial institutions, and X2i isthe change over the quarter in bond sales by financial institutions. The estimated regression coefficients are b₁ = 0.057and b₂ = -0.033. Interpret these estimates.What is the correct interpretation of the coefficient estimates? Select the correct choice below and, if necessary, fill in theanswer boxes within your choice.A. Each percent increase in the bond interest rates leads to a change in the estimated amount of bondspurchased by financial institutions by and a decrease in bond sales by financial institutions by.B. Each additional bond purchased by financial institutions leads to a change in the estimated bond interest ratesby percent. Each additional bond sale by financial institutions leads to a change in the estimated bondinterest rates by percent.C. There is no meaningful interpretation of the regression coefficients for this application.

Answer By using the given data is: x1i is the change over the quarter in bond purchases by…

Answered: In a study of the influence of…

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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4. An observational study was conducted to investigate the association between age and total serum cholesterol. The study involved 125 participants with an average age of 44.3 and an age range between 35-55 years. The regression equation was calculated and is as follows: y = 124.4 + 1.6x a) Estimate the total serum cholesterol for a 50-year old person. b) Estimate the total serum cholesterol for a 44-year old person. c) Would it be appropriate to utilize the equation to predict a 70-year old individual's cholesterol level? Please explain your answer.
The following chart shows the actual sales for the last 12 months for a given company. Assume that sales are best fit by a linear trend and you can use single linear regression to set up a forecasting model. Using the sales data answer below questions (justify your answers): A.What would be the typical linear regression equation for the number of sales? B.Make the sales forecast for period 15 of next year. C. Make the sales forecast for period 17 of next year. D. What is the standard error for the data?
Cryptocurrencies have rapidly become an important alternative to traditional currencies for many types of transactions. Etherium, one of the most prominent cryptocurrencies, has rapidly appreciated in value. Daily Etherium trading information for the first 332 days of 2021. It includes the following variables: Date Day – Day of the year, used to assess trend over time Volume (US $) – Daily trading volume Opening Price (US $) – Opening price for daily trading Price Change (US $) – Daily change in price from opening to close 1. Determine the sample correlation coefficient, r, between Volume and Price Change. Test the alternative hypothesis that Volume has a linear relationship to Price Change. Specifically, what are the test statistic and the p-value for that test statistic? For α = .05, what do you conclude about the relationship between the variables? (reminder: the T.DIST.2T function requires input of a positive test statistic)
In a simple linear regression equation, X is the----- variable.
Assume that in one country in 2005, 12.5% of the population was 65 or older. By 2050, this percent is expected to be 21.05%. The percent of the population ages 25-34 in 2005 was 13.9%. That age group is expected to include 13.1215% of the population in 2050. A.) Assuming these population changes are linear, use the data for the 65 or over age group to write a linear equation. Then do the same for the 25-34 age group. Let x=0represent 2005 and x=45 represent 2050. Express percents in decimal form. A1.) For the population of 65 or older the equation is y=________. A2.) For the population of 25-34 years the equation is y=________. B.) Solve the system of linear equations from part (a). In what year will the two age groups include the same percent of the population? What is that percent? B1.) The age groups include the same percent of population in the year_______. (Do not round until the final answer. Then round to the nearest year as needed.) B2.) The percent…
In May, about 451 thousand existing homes were sold in the U.S., and sales were decreasingby 3.4% per month.(a) Create a model for this situation. (Recall that you should define the independent anddependent variables and their units, as well as provide an equation.)(b) If this trend continues, how many existing homes will be sold in the U.S. in October?(Round to the nearest thousand homes.)
Anita Limited has shared their annual sales revenue over the last 6 financial years from 2015 to 2020. Year Sales ($ 000) 2015 4500 2016 5100 2017 4900 2018 5400 2019 5670 2020 6000 You are required to; a) Using linear trend equation forecast the sales revenue of Anita Limited for 2021. Note: See the formula sheet on the next page. P.S.: I can't attach the formula sheet in this because it has variuos symbols, such as Sigma, log, x value etc. I uploaded the formula sheet and the question as well in the chat box. Please let me know if you need any more information.
The idea of a large, stable middle class (defined as those with annual household incomes in 2010 between $42,000 and $126,000 for a family of three), is central to America's sense of itself. But the U.S. middle class shrank steadily from 61% of all adults in 1971 (t = 0) to 51% in 2011 (t = 4), where t is measured in decades. Research has shown that this decline was approximately linear.† (a) Find a linear function f(t) giving the percentage of middle-income adults in decade t, where t = 0 corresponds to 1971. (b) If this trend continues, what will the percentage of middle-income adults be in 2041?
The following chart shows the actual sales for the last 12 months for a given company. Assume that sales are best fit by a linear trend and you can use single linear regression to set up a forecasting model. Using the sales data answer below questions (justify your answers): A.What would be the typical linear regression equation for the number of sales? B.Make the sales forecast for period 15 of next year. C. Make the sales forecast for period 17 of next year. D. What is the standard error for the data?
The U.S. Bureau of the Census predicted that the population of Florida would be about 17.4 million in 2030 and then would increase by about 0.22 million per year until 2030. Which of the following linear models predicts the population, y, of Florida (in millions) in terms of x, the number of years since 2010. O y = 17.4x + 0.22 O y = -0.22x + 17.4 O y = 0.22x + 17.4 Oy = -17.4x + 0.22
In a given year, the U.S. federal income tax owed by a married couple filing jointly can be found from the following table. Married Filing Jointly Taxable Income $0-$18,550 T(x) = $18,551-$75,300 $75,301-$151,900 amount over $75,300 $413,351-$466,950 Tax Rate 10% $1,855 plus 15% of the amount over $18,550 $10,367.50 plus 25% of the $151,901-$231,450 amount over $151,900 $466,951 or more if $29,517.50 plus 28% of the $231,451-$413,350 amount over $231,450 $51,791.50 plus 33% of the $130,578.50 plus 39.6% of the amount over $466,950 (a) For incomes up to $151,900, write the piecewise defined function T with input x that models the federal tax dollars due as a function of x, the taxable income dollars earned. $111,818.50 plus 35% of the amount over $413,350 0 < x≤ 18,550 if 18,550 < x≤ 75,300 if 75,300 < x≤ 151,900 (b) Use the function to find T(40,000). $ (c) Find the tax due on a taxable inco of $90,000. $ (d) A friend tells Jack Waddell not to earn any money over $75,300 because it…
A well-known university is interested in how salary (in thousands of dollars) is predicted from years of service for faculty and administrative staff. Below are the estimated regression equations.Faculty (n = 170): ŷ = 60 + 1.1xAdmin. (n = 155): ŷ = 57 + 1.5x a) How much would a faculty member be earning after 5 years of service? b) In how many years will an administrator earn the same amount as in a)?

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