Question 34The following regression model was estimated to forecast the value of the Malaysian ringgit (MYR):MYR=ao+a₁ INCt-1+a2INFt-1+Utwhere MYR is the quarterly change in the ringgit, INF is the previous quarterly percentage change in the inflation differential, and INC is the previous quarterly percentage change in the income growth differential.Regression results indicate coefficients ao = 0.004; a₁= 0.6; and a2=-0.5. The most recent quarterly percentage change in the income differential is -1%, while the most recent quarterly percentagechange in the inflation differential is -7%. Using this information, the forecast for the percentage change in the ringgit is % (1 decimal place please; note % is already given, so if you find an answer of .055, youwill need to enter 5.5 for the correct answer because .055-5.5%)

Given the estimated regression model used to forecast the value of the Malaysian ringgit (MYR)…

Answered: The following regression model was…

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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Consider a linear regression model for the decrease in blood pressure (mmHg) over a four-week period with muy=2.8+0.8x and standard deviation chi=3.2. The explanatory variable x is the number of servings fruits and vegetables in a calorie-controlled diet. Explain clearly what this slope says about the change in the mean of y for a change in x.
Given that the systolic blood pressure in the right arm is 90 mm Hg, the best systolic blood pressure in the left arm is how many mm Hg?
(d) If the life expectancy is increased by 3.5 years in a certain country, how much will the happiness index change? Round to two decimal places. (e) Use the regression line to predict the happiness index of a country with a life expectancy of 84 years. Round to two decimal places.
Data from 147 colleges from 1995 to 2005 (Lee,2008) were tested to predict the endowments (in billions) to a college from the average SAT score of students attending the college. The resulting regression equation was Y = -20.46 + 4.06 (X). This regression indicates that: a. for every one-point increase in SAT scores, a college can expect 4.06 billion more in endowments. b. most colleges have very high endowments. c. for every one-point increase in SAT scores, a college can expect 20.46 billion fewer in endowments. d. for every one-dollar increase in endowments, the college can expect a half-point increase in SAT scores.
A college alumni Organization sent a survey to all recent graduates to ask their annual income. 20% of the alumni responded, and their mean annual income was $40,000 with a standard deviation of $10,000. Explain why these data should not be used to construct a confidence interval for the mean annual income of all recent graduates.
Consider the following OLS regression results, In(inc)=1.970+.083educ, R²=.186, where inc represents annual income (in $1000s) and educ represents years of education. The slope estimate on years of education can be interpreted as an additional year of education is associated with an .083% increase in income. an additional year of education is associated with an 8.3% increase in income. a 1% increase in education is associated with an increase in income of $83. a 1% increase in education is associated with an increase in income of $8,300.
Consider the following regression equation representing the linear relationship between the Canada Child Benefit provided for a married couple with 3 children under the age of 6, based on their annual family net income: ŷ =121.09−0.57246xR2=0.894 where y = annual Canada Child Benefit paid (in $100s) x = net annual family income (in $1000s) Source: Canada Revenue Agency a. As the net annual family income increases, does the Canada Child Benefit paid increase or decrease? Based on this, is the correlation between the two variables positive or negative?The Canada Child Benefit paid .The correlation between the two variables is .b. Calculate the correlation coefficient and determine if the relationship between the two variables is strong, moderate or weak.r= , the relationship is . Round to 3 decimal places c. Interpret the value of the slope as it relates to this relationship. For every $1 increase in annual family net income, there is a $0.57246 decrease in…

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