The following data are the monthly starting salaries and the Grade Point Averages (GPA) of businessgraduates who have obtained a first degree in accounting.x: GPAy: MonthlySalary ($)2.12.53.33.53.13.62.81.93.519,000 18,000 21,000 25,000 20,000 24,000 21,000 24,000 17,000Suppose that you want to build a simple linear regression model to relate x and y, as follows:y = Bo + Box +(a) Use the least squares method to determine the sample estimates, bo and b₁ of the populationregression parameters, B and B₁. You need to apply the relevant formulae and show yourcalculation details.(b)(c)Write down the fitted regression equation and specify the valid range of the equation.Forecast the starting salary for a graduate with GPA= 3.7. Do you think that such a forecast isreliable? Justify your answer briefly.

Given that: GPA, x Monthly Salary ($) 2.1 19000 2.5 18000 3.3 21000 3.5 25000 3.1 20000…

Answered: The following data are the monthly…

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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Many factors influence the retail price of gasoline. Suppose the following table shows the average retail price for a gallon of regular grade gasoline for each year from 2011 through 2014. (Round your answers to one decimal place.) Year Average Price ($) 2011 3.531 2012 3.618 2013 3.515 2014 3.348 (a) Use 2011 as the base year and develop a price index for the retail price of a gallon of regular grade gasoline over this four-year period. 2011 price index 100 100.0 2012 price index 2013 price index X X 100.1 2014 price index 100.1 X (b) Use 2012 as the base year and develop a price index for the retail price of a gallon of regular grade gasoline over this four-year period. 2011 price index X 100.0 2012 price index 100 2013 price index 100.0 X 2014 price index 100.1 X
From the following data compute the consumer price Index for the year 1998 w.r.t. the price level of 1997. Food Items Food Rent Clothing Fuel Weight Percentage of increase in prices over the price of 1997 Misc. 7.5 2 2.5 Rice Whe Pul 3 1 50 60 40 20 30
Use the most accurate method to forecast the revenues of licenses, permits, and fees in Years 9, 10, and 11. Use the Year 8 actual figure instead of the forecast figure (Year 8 was $23,210,218). Also, consider three incremental changes in forecasting.
Data for a particular country on consumer debt (as a percentage of personal income) and mortgage debt (also as a percentage of personal income) for the 10 years from 2006 to 2015 are shown in the following table. Consumer Debt r = 6.72 7.07 6.97 6.69 6.19 5.58 5.15 4.95 4.74 4.59 Mortgage Debt 5.96 5.97 5.88 5.60 5.17 5.06 4.96 5.22 5.30 5.45 (a) What is the value of the correlation coefficient for this data set? (Round your answer to four decimal places.)
This is an MCQ kindly answer with proper explanation
Below are the commodity data. Determine (a) Laspeyer's price index and Laspeyer's quantity index. (b) Paasche's price index and Paasche's quantity index. (c) Fisher's ideal index (both Price and Quantity) January 2020 Price (S) Q2. January 2020 Quantity January 2021 Price (S) 4.45 January 2021 Quantity Commodity Toothpaste Shampoo Cough tablets Antiperspirant 5.49 2 3 4.29 3 6.29 3.79 4 5.67 4 4.29 4.89
B - Does there appear to be a relationship between income and sadness, hopelessness, and worthlessness? justify your answer in your own word. points Figure 2. Feelings of Worthlessness. Hopelessness, and Sadness All or Most of the Time, by Income. 2011 Percentage of adults 4.6% 3.8% Less than $35.000 3.2% Sadness 2,3% 1.9% $35.000-49.999 Hopelessness 2.3% 1.5% 1.1% $50,000-74,999 Annual family income Worthlessness 1.3% 0.6% 0.6% $75,000-99,999 1.2% 0.5% 0.6% $100,000 or more
With aging, body fat increases and muscle mass declines. The line graphs show the percent body fat in adult females and males as they age from 25 to 75 years. Use this information to complete parts (a) through (c) below. a. Find an estimate for the percent body fat in 45-year-old females. % (Type a whole number.) Percent Body Fat 40 36- 32- 28- 24 20+ 15 Percent Body Fat in Adults 25 35 45 Age Females Males 55 65 75
Let X₁,..., Xn be i.i.d. random samples from Uniform[0, 0]. We saw in class that the mle 6 of 0 is Ô = max{X₁,..., Xn}. Show that this is a biased estimator of 0. Use the result to propose an unbiased estimator of 0. Hint: First find the cdf and then the pdf of max{X₁,..., Xn}. Then use it to calculate its mean.

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